AI Hyperautomation

How To Use AI to Predict, Prevent, and Respond To Cybersecurity Threats

By Torq

April 18, 2025

9 Minute Read

From zero-day exploits to morphing malware, cybercriminals are increasingly using automation and artificial intelligence (AI) to stay ahead — and traditional defenses can’t keep up. That’s why forward-thinking security teams are turning to AI in cybersecurity to predict, prevent, and respond to threats faster than any human ever could.

AI has quickly shifted from a “nice-to-have” to a mission-critical capability for modern SOCs. Platforms like Torq Hyperautomation™ are making this shift seamless with built-in intelligence and automation that deliver real results.

With a multi-agent system led by Torq Socrates, adaptive playbooks, and real-time behavioral analysis, Torq gives you the speed, precision, and scalability to detect, investigate, and remediate threats at machine speed without overwhelming your team.

Why Traditional Cybersecurity Can’t Keep Up

Legacy security architectures weren’t built for today’s threat landscape. The nature, volume, and velocity of attacks are simply too much for manual approaches and static tools.

Sheer threat volume: Security operations centers (SOCs) are bombarded with a flood of data. Billions of events stream from cloud platforms, endpoints, networks, and third-party tools. Filtering through this data for real signals is nearly impossible without intelligent assistance.
Limited human resources: Security talent is in short supply, and burnout is rampant. Analysts can only triage so many alerts before accuracy and morale drop. AI can help cut through the noise and surface only what matters.
Tools are disconnected: Disconnected systems and disparate dashboards slow down detection and response. Without centralized visibility, threats slip through the cracks. With AI, disparate data sources can be correlated automatically, so nothing falls through the cracks.

What is AI in Cybersecurity?

Artificial intelligence in cybersecurity involves using intelligent algorithms and machine learning models to detect, investigate, and respond to cyber threats. These systems go beyond traditional automation by learning from past data, identifying patterns, and making informed decisions without constant human oversight.

AI in cybersecurity uses artificial intelligence to monitor, analyze, detect, and respond to cyber threats in real time. AI-powered systems continuously scan networks to identify vulnerabilities, detect suspicious activity, and prevent potential attacks before they escalate. By analyzing vast amounts of behavioral and contextual data, AI establishes baselines and flags anomalies that could indicate malware, unauthorized access, or other security risks.

Beyond detection and prevention, AI also plays a key role in prioritizing risks, automating incident response, and enabling security automation at scale. This reduces human error, accelerates threat mitigation, and frees up cybersecurity teams to focus on strategic initiatives instead of repetitive manual tasks.

How AI in Cybersecurity Prevents Cyberattacks

Artificial intelligence has become a game-changer in how organizations detect, investigate, and respond to cyber threats. At its core, AI in cybersecurity leverages agentic AI, intelligent automation, and behavioral analytics to act faster and smarter than traditional tools ever could. Here are some ways AI works in security operations:

Advanced threat detection: AI continuously ingests and analyzes vast volumes of logs, telemetry, and network data. It identifies subtle anomalies deviating from normal behavior — clues pointing to zero-day exploits, insider threats, or stealthy lateral movement. These threats often bypass legacy systems, but AI can detect them early, reducing dwell time and potential damage.
Automated incident response: When known threats are detected, AI instantly executes predefined response playbooks without waiting for human intervention. From isolating compromised devices and disabling user accounts to revoking access credentials or initiating forensic analysis, AI automation ensures that threats are neutralized before they escalate.
Behavioral analysis and anomaly detection: AI cybersecurity applications include real-time user and entity behavior monitoring to establish baseline patterns. When deviations occur, such as unusual login locations, phishing emails, irregular access to sensitive files, or unexpected privilege escalation, AI flags and escalates them as potential threats, enabling proactive defense.
Enriched threat intelligence: AI doesn’t operate in a vacuum. It correlates internal security data with external threat intelligence feeds to enrich alerts with context, improving prioritization and clarity for analysts. This enhanced visibility helps security teams understand attacks’ scope, origin, and intent more quickly and accurately.
Proactive phishing detection: AI-powered systems intelligently analyze email metadata, language patterns, and behavioral signals to detect phishing attempts in real time. By identifying suspicious URLs, spoofed senders, and anomalous requests for sensitive information, AI can flag and neutralize phishing threats before users even see them, reducing the risk of social engineering attacks across the organization.
Cost-efficient security: AI reduces the burden on overstretched security teams by automating routine investigations, triage, and threat correlation. This enables organizations to achieve enterprise-grade protection without continuously expanding headcount, cutting operational costs while maintaining (and even improving) overall security effectiveness.
Automated remediation: AI can also accelerate recovery. From isolating affected endpoints and resetting credentials to restoring systems from clean backups, AI-driven workflows ensure rapid remediation and minimal disruption. This shortens downtime, protects business continuity, and keeps incidents from escalating.
Predictive defense capabilities: The future of AI in cybersecurity lies in its predictive capabilities. Instead of reacting to known indicators of compromise, AI anticipates threats by identifying vulnerabilities and patterns that could lead to a breach. It then recommends or automatically implements preemptive measures — hardening systems before attackers strike.

How Torq Uses AI to Power Security Operations

Rather than applying AI as a surface-level enhancement, Torq treats it as a core capability, enabling more intelligent, scalable, and autonomous security operations.

AI-Enhanced Playbooks

Traditional playbooks follow linear paths that often fail when an unexpected event occurs. Torq’s AI-enhanced workflows are dynamic; they adapt in execution based on real-time inputs, threat intelligence, and behavioral anomalies. For example, if an endpoint begins communicating with a known malicious IP during an investigation, the playbook can autonomously pivot, escalate the issue, and initiate quarantine without human input.

Automated Threat Analysis Across Hybrid Environments

Security environments are no longer confined to a single perimeter. Torq’s multi-agent system ingests, normalizes, and correlates data across multi-cloud, on-prem, and hybrid systems. This ensures end-to-end visibility, rapid threat detection, and intelligent triage across every layer of the modern enterprise. Whether correlating EDR alerts with cloud logs or detecting unusual user behavior across SaaS platforms, Torq enables AI-powered insights that drive action.

Policy Enforcement Without Human Intervention

Using contextual awareness and learned baselines, Torq enforces security policies automatically, whether by disabling suspicious accounts, rotating credentials, or blocking data exfiltration attempts. These policy enforcement actions are triggered based on AI-driven evaluations of risk, not just predefined rules, making them far more effective at keeping up with novel and fast-moving attacks.

Behavior-Based Triggers for Autonomous Workflows

Rather than relying solely on static alert thresholds, Torq uses behavior-based triggers to launch workflows when unusual activity is observed. This allows the system to detect subtle indicators of compromise, like a user logging in from an unusual location or a sudden spike in data transfers, and initiate proactive investigations or mitigations before a threat escalates.

Always Learning, Always Improving

Whether you’re deploying Torq AI Agents for the SOC or interacting with Torq Socrates, the platform constantly refines its models and decision-making logic. By learning from past incidents, analyst input, and environment-specific context, Torq ensures your SOC automation gets smarter daily. Not only does Torq respond to threats; it anticipates and neutralizes them, creating a more resilient, proactive, and self-healing SOC.

Get the AI or Die manifesto for advice for deploying AI the right way as a SOC leader.

5 Benefits of Using AI in Cybersecurity

As cyber threats increase in speed, volume, and sophistication, traditional security tools struggle to keep up. Integrating AI solutions into your security operations equips your team with the speed, scale, and intelligence needed to move from reactive defense to proactive protection. Here are some of the benefits of AI.

1. Faster Threat Detection and Incident Response

In the race against attackers, speed is everything. AI systems accelerates threat detection and incidence response by analyzing millions of signals across your environment in real time.

Torq’s AI-powered platform automatically correlates telemetry from cloud, on-premises, and hybrid sources to identify anomalies the moment they occur. Once detected, Torq’s AI-enhanced playbooks launch instant, context-aware response actions — shrinking dwell time, reducing Mean Time to Detect (MTTD) and Mean Time to Respond (MTTR), and helping security teams contain threats before damage occurs.

2. Reduced False Positives and Alert Fatigue

One of the most pressing challenges for security analysts is the overwhelming number of alerts, most of which are false positives. AI drastically improves signal-to-noise ratio.

Torq’s intelligent agents use behavioral analysis and historical data to suppress irrelevant alerts and elevate those that indicate real risk. This helps eliminate alert fatigue and gives your SOC team the clarity to focus on legitimate cyber threats without wasting time or attention on false alarms.

3. Enhanced Visibility Across Hybrid Environments

Today’s digital environments are complex and decentralized, spanning cloud infrastructure, on-prem servers, endpoints, SaaS tools, and edge devices. AI applications in cybersecurity make it possible to ingest, normalize, and analyze telemetry across all of these domains.

Torq enhances this capability by layering AI enrichment on top of unified data streams, delivering deep, actionable insights across the full attack surface. This ensures that teams have a complete and continuous view of activity, no matter where threats emerge.

4. Continuous, Adaptive Protection

Unlike static rule-based systems, AI is dynamic. It learns from both historical and real-time data to adapt to new and emerging threats. Torq’s AI-enhanced workflows evolve alongside your adversaries, constantly adjusting detection thresholds, response tactics, and automation triggers based on new threat intelligence and system behavior.

With AI, SOC teams can predict potential vulnerabilities in their security systems by simulating attack scenarios and assessing weaknesses. This proactive approach allows for timely remediation measures, ultimately hardening defenses before threats materialize.

5. More Efficient Security Operations With Fewer Resources

Hiring and retaining skilled cybersecurity talent remains a massive challenge. AI in the SOC helps close that gap. Torq empowers lean security teams by automating Tier-1 investigation, decision-making, and remediation tasks.

This boosts productivity and creates a scalable model where a lean team can manage the workload of a much larger SOC. AI can also reduce the strain on human resources by automating routine cybersecurity tasks. Security teams can focus on strategic initiatives and complex incident responses, rather than getting bogged down in repetitive alert monitoring and analysis, ultimately increasing operational efficiency.

The Future of Cybersecurity is AI-Driven — And It Starts with Torq

As adversaries become more sophisticated, so must the tools we use to fight them. From prediction to prevention to rapid response, AI in cybersecurity enables a new era of intelligent defense.

Torq’s AI-powered Hyperautomation platform ensures that your SOC is staying ahead. With adaptive workflows, real-time analysis, and intelligent orchestration, Torq transforms your cybersecurity operations from reactive to proactive.

Explore how AI can take your security operations to the next level.

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Full SIEM Ahead: How Hyperautomation Unleashes SIEM’s Full Potential

By Torq

April 16, 2025

9 Minute Read

Without fast, automated response, SIEM solutions become a bottleneck. Security Hyperautomation platforms like Torq extend the power of SIEM by transforming alerts into real-time, intelligent action, closing the detection-response gap with precision, speed, and scale. Here’s how modern security teams use Torq to unlock their SIEM investment’s full value.

What is SIEM and What Does It Do?

A SIEM (Security Information and Event Management) system is a cybersecurity tool that collects, aggregates, and analyzes security data from across an organization’s IT environment to detect and alert on potential threats.

Here’s what a SIEM does:

Centralizes logs and events from endpoints, servers, firewalls, cloud services, and applications
Correlates and analyzes events in real time to detect anomalies and suspicious behavior
Generates alerts when specific patterns or rule thresholds are triggered
Supports compliance by providing audit trails and automated reporting for frameworks like HIPAA, PCI-DSS, and GDPR
Enables incident investigation by storing and organizing historical security data for forensic analysis

While SIEM platforms are SOC essentials for visibility and detection, they don’t take action on their own. That’s why modern SOCs pair SIEM with Hyperautomation platforms like Torq to turn alerts into fully automated, real-time incident response.

Limitations of SIEM (And What Torq Adds)

Despite its significant advantages, SIEM alone is not enough to keep pace with today’s fast-evolving threat landscape. It excels at centralizing visibility and detecting threats, but detection without response leads to delay, fatigue, and missed opportunities.

Torq doesn’t replace your SIEM solution; it makes it more effective. By layering intelligent automation, orchestration, and agentic AI over your existing SIEM infrastructure, Torq Hyerautomation transforms passive alerting into autonomous action. Here’s how Torq fills the gaps SIEMs leave behind:

SIEMs generate alerts, but don’t take action: SIEM tools detect threats, but rely on security analysts for response. Torq closes this gap with fully automated, AI-driven remediation workflows that execute in seconds.
SIEMs still require heavy manual tuning and rule maintenance: Torq reduces the overhead with no-code, adaptive workflows that evolve with your environment — no constant rule updates required.
SIEMs can be expensive and slow to deploy: Torq’s cloud-native platform integrates with SIEMs out of the box, accelerating time to value without the cost or complexity of traditional solutions.
SIEMs struggle with newer cloud-native environments: Torq was built for hybrid and cloud-native stacks, offering easy-to-deploy integrations, and full context across dynamic infrastructure.
SIEMs often lack automation, enrichment, and remediation: Torq enriches SIEM alerts with contextual data from across your ecosystem and auto-remediates routine threats to keep your SOC analysts focused on what matters most.

Top SIEM Benefits + How Torq Takes Them to the Next Level

SIEM solutions offer several benefits, primarily focused on enhancing cybersecurity operations and compliance. These benefits include real-time threat detection, improved incident response, compliance reporting, and enhanced visibility into an organization’s security posture.

But a SIEM’s true potential is only unlocked when paired with a Hyperautomation platform like Torq, which can act on those insights in real time, with speed, precision, and scale. Let’s break down the key benefits and how Torq Hyperautomation elevates each one.

Centralized Visibility Across the Enterprise

What SIEM does: Consolidates data from multiple sources (endpoints, firewalls, cloud services, applications) into one platform for unified monitoring.

What Torq adds: Torq builds on this centralization by automatically triggering workflows based on SIEM alerts. It enriches those alerts with additional telemetry from tools like EDR, IAM, and cloud infrastructure, giving security analysts a fully contextualized, real-time view of threats, without manual data gathering.

Faster Threat Detection and Response

What SIEM does: Detects threats by correlating logs and identifying anomalies.

What Torq adds: Torq turns alerts into automated actions. As soon as a threat is identified, Torq can initiate an AI-driven workflow to isolate affected assets, revoke credentials, notify responders, and even contain the incident, shrinking mean time to respond (MTTR) from hours to minutes.

Better Context and Correlation Across Events

What SIEM does: Links disparate events across systems to create a clearer threat picture.

What Torq adds: Torq enriches alerts with threat intelligence, user behavior data, and system metadata from across your stack automatically. This eliminates the need for manual correlation and enables faster, more accurate decisions during investigation.

Improved Incident Investigation and Forensics

What SIEM does: Stores and organizes historical event data for deep-dive analysis.

What Torq adds: Torq automates forensic workflows, pre-populating investigation tickets with enriched event details, artifacts, and recommended next steps. It can also automatically launch post-incident reports and feed findings back into your detection logic for continuous improvement.

Easier Compliance and Audit Readiness

What SIEM does: Provides logs and dashboards needed to meet compliance mandates and internal policies.

What Torq adds: Torq automates audit preparation, collecting evidence, populating reports, and tracking remediation progress across regulatory frameworks like HIPAA, PCI DSS, and ISO 27001. It also ensures that every response action is documented in a traceable, repeatable workflow.

Reduces Alert Fatigue with Intelligent Filtering

What SIEM does: Uses rule-based logic to suppress low-priority alerts and highlight high-risk events.

What Torq adds: Torq offloads routine alert handling entirely. With agentic AI and adaptive logic, Torq identifies, triages, and resolves known issues autonomously, freeing analysts to focus on complex, novel threats instead of digging through alert queues.

Enables Long-Term Log Retention and Trend Analysis

What SIEM does: Stores large volumes of event data for retrospective threat hunting and compliance.

What Torq adds: Torq automates trend analysis by triggering investigative workflows based on historical patterns. It can scan logs for dormant threats, lateral movement, or changes in attacker behavior, surfacing early indicators of compromise that static tools often miss.

SIEM gives you visibility; Torq gives you velocity. Together, they form a modern detection and response powerhouse, one that’s intelligent, autonomous, and built to meet the scale and complexity of today’s threat landscape.

SIEM + Hyperautomation: Automate, Orchestrate, and Accelerate Your SOC

Traditional SIEM tools provide crucial visibility, but they stop short at the most critical moment: taking action. Torq Hyperautomation™ bridges that gap, automatically translating detection into a real-time, orchestrated response.

Orchestrating Automated Incident Response

Torq Hyperautomation is the connective tissue between your SIEM and the rest of your security stack. When a threat is detected, Torq automatically launches the appropriate response workflow — escalating to the right team, isolating endpoints, blocking IPs, or disabling compromised accounts — without requiring human intervention. The result is a quick, consistent incident response that scales with your environment.

Enriching Alerts with Real-Time Context

A plain old SIEM alert rarely tells the whole story. Data enrichment from Torq gathers intelligence from both internal systems (like asset management, identity platforms, and vulnerability scanners) and external sources (such as VirusTotal, WHOIS, and threat intelligence feeds). This added context enables your security operations center (SOC) to rapidly understand the scope and severity of an alert, so every response is informed and accurate.

Connecting SIEM with External Systems

Torq’s integrations natively connect SIEM tools with hundreds of other technologies: IAM systems, EDR, XDR, cloud providers, ticketing systems, SOAR platforms, and beyond. This unifies your environment and allows for fully automated, cross-platform workflows that eliminate alert silos and enable cohesive security operations.

Auto-Remediating Low-Risk Threats

Not every alert needs a human touch. With Torq remediation workflows, SOC teams can auto-resolve routine incidents like quarantining a phishing email, resetting a password, or blocking a suspicious IP. These workflows reduce noise, remove low-risk tasks from analysts’ queues, and address minor issues before they escalate.

Reducing MTTR and Cybersecurity Analyst Fatigue

Torq enables security teams to prioritize critical threats and offload repetitive tasks by combining agentic AI with dynamic workflows. Alerts are triaged in real time, cases are automatically created and enriched, and remediation actions are executed autonomously, cutting MTTR from hours to minutes, and giving analysts time back to focus on higher-value initiatives.

Feature	SIEM Alone	SIEM + Torq Hyperautomation
Threat Response	Alert-only, manual response	Automated, AI-driven incident response
Deployment Complexity	High; slow deployment	Low; rapid integration and deployment
Cloud Environment Support	Limited, manual adjustments needed	Comprehensive, real-time cloud integration
Automation and Remediation	Minimal; manual-heavy processes	Full-cycle automated remediation
MTTR Reduction	Moderate	Dramatic; from hours to minutes

Maximizing SIEM Benefits with Hyperautomation: The Check Point Success Story

Check Point, a leading cybersecurity company, faced a common challenge: too many SIEM alerts, too few analysts. Their overburdened SOC struggled to keep pace with a constant flood of threat signals. With a 30–40% staffing shortfall, manual triage wasn’t just inefficient — it was a security risk.

To close the gap between detection and action, Check Point deployed Torq Hyperautomation. Within days, over two dozen automated workflows were live, instantly handling repetitive alerts and streamlining response processes. Unlike legacy SOAR tools, Torq integrated effortlessly with Check Point’s existing SIEM and security stack, ingesting data, enriching alerts, and executing response actions autonomously.

Now, Torq HyperSOC automatically investigates and remediates many internal alerts. It intelligently escalates cases to analysts with full context and AI-suggested next steps for critical or ambiguous threats. Natural language processing also enables Torq to learn from internal documentation, making triage faster and more accurate.

Within weeks, Check Point reduced phishing remediation time from hours to minutes, accelerated overall SOC efficiency by 10x, and cut manual workloads dramatically — without hiring a single additional analyst.

“It’s a cat-and-mouse game. And, with Torq, we can catch the mouse more easily.”
Jonathan Fischbein, CISO at Check Point

Unlock SIEM’s Full Potential with Torq Hyperautomation

While SIEM tools are essential for centralized threat detection and visibility, they weren’t built to solve today’s most pressing security challenges alone. The alert volume is too high. Security analyst resources are too stretched. And the speed of modern cyberattacks demands more than just passive monitoring.

By integrating SIEM with Torq Hyperautomation, security teams don’t just detect threats; they act on them instantly. Torq empowers teams to automate the entire response lifecycle, from triage and enrichment to remediation and escalation. It reduces time-to-response from hours to minutes, minimizes manual effort, and ensures that even short-staffed SOCs can operate with maximum efficiency.

Detection is just the start. Let Torq take you the rest of the way.

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All Gas, No Brakes: The Autonomous SOC Revolution is Here

By Ofer Smadari, CEO & Co-Founder

April 15, 2025

5 Minute Read

As CEO of Torq, I’ve had a front-row seat to this transformation. In speaking with countless CISOs and analysts, one theme rings loud and clear: We can’t fight modern threats with yesterday’s tools. SOC teams today are wilting under an onslaught of alerts and “busywork,” creating an existential crisis in security operations. It’s time for a bold leap forward.

Leading the Charge: Torq HyperSOC-2o and the Revrod Leap

Earlier this month, we took a decisive step into the future by launching Torq HyperSOC-2o, fresh on the heels of our acquisition of Revrod — a stealth-mode Israeli AI startup with advanced multi-agent AI expertise. This move isn’t just about adding features; it positions Torq at the forefront of the autonomous SOC revolution.

Torq HyperSOC-2o is built around a comprehensive OmniAgent that can identify, prioritize, and remediate threats across the entire organization. By integrating Revrod’s cutting-edge multi-agent RAG (Retrieval-Augmented Generation) technology, we’ve supercharged our platform’s ability to do deep research, planning, and generative reasoning in the SOC. In plain terms: HyperSOC-2o can analyze threats and coordinate responses with near-human-level insight and precision at machine speed.

This isn’t hype — it’s happening now. Torq was recently named an “AI Startup to Watch” by Business Insider, recognizing the momentum and innovation behind our approach. With Revrod’s team now part of Torq, that momentum accelerates.

“Torq is at least 18 months ahead of the pack in delivering true autonomy for security operations.”

I can confidently say Torq is at least 18 months ahead of the pack in delivering true autonomy for security operations. Revrod’s technology “fundamentally changes what’s possible in a SOC,” and by weaving it into HyperSOC-2o, we’re giving our customers the ability to operate faster and smarter than ever. In demos at RSA Conference, attendees will see firsthand that the autonomous SOC isn’t a distant vision — it’s here, and Torq is leading it.

Beyond Legacy SOAR: A Generational Leap in SOC Automation

To understand why this leap matters, consider the tools many SOCs have relied on until now: legacy SOAR platforms like Palo Alto’s Cortex XSOAR (Demisto), Splunk Phantom, or Siemplify. These systems were pioneering in their day, but they were built for a different era and a different scale. Traditional SOAR demanded extensive coding and constant maintenance to keep up with new threats and systems.

In contrast, Torq HyperSOC is built on an agentic architecture where AI agents actively collaborate, reason, and take initiative across the full security stack. We’ve developed an OmniAgent that can orchestrate a team of specialized AI agents, each with its own focus area, dynamically working together like a human SOC team.

Compared to the rigid, one-track automations of legacy SOAR, Torq’s multi-agent brain represents a generational leap. It’s the difference between a scripted assistant and an autonomous colleague. It auto-calibrates its response playbooks and tools on the fly to mitigate threats faster and more accurately than any static playbook could.

Inside Torq HyperSOC-2o: AI Agents on the Front Lines

Rather than a monolithic black box, Torq HyperSOC-2o is an ensemble of intelligent agents working in concert — a “virtual SOC team” that never gets tired. Here’s a closer look at the AI agents powering HyperSOC-2o:

Investigation Agent — Performs deep-dive investigations in seconds, uncovering hidden patterns across disparate data sources and tools to pinpoint root causes and assess threat impact.
Case Management Agent — Gathers real-time and historical data, organizes case timelines, highlights key indicators, and reprioritizes incidents based on evolving information.
Runbook Agent — Autonomously executes and adapts incident response runbooks with institution-specific knowledge built-in.
Remediation Agent — Executes remediation actions autonomously, closing the loop with verifiable outcomes, operating in orchestrated or human-in-the-loop configurations.

Together, these agents function as an AI-powered SOC unit: ingesting alerts, investigating, collaborating, and remediating as a cohesive intelligence.

Real Results: Faster Responses, Greater Scale, Happier Analysts

Fortune 500 companies have already deployed Torq’s agentic SOC platform. In early deployments, organizations saw:

Up to 90% reduction in investigation time.
3–5× increase in alert handling capacity with no added headcount.
95%+ of Tier-1 security tasks automated.
Significant improvements in key SOC KPIs like MTTR (mean time to respond).

Security leaders can now shift from a reactive stance to a proactive strategy. They can spend more time on strategic initiatives because the AI agents have their backs on the front lines.

The Road Ahead: How AI Agents Will Redefine Cybersecurity Operations

The introduction of intelligent, collaborative AI agents into the SOC is not just an incremental improvement — it’s a tectonic shift. Security operations will never be the same.

Organizations will be able to achieve a level of security posture and responsiveness previously limited to only the most well-staffed enterprises — not by hiring armies of analysts, but by deploying intelligent agents that work like armies of analysts.

The autonomous SOC is here, and it’s here to stay.

The Fast Eat the Slow: AI Adoption for Survival in Modern Cybersecurity

By John "JQ" Quinsey

April 14, 2025

4 Minute Read

Don’t Play Checkers While Attackers Play Chess

Security teams today face an overwhelming number of alerts, many of which result from harmless Internet activity. With countless alerts pouring in daily, identifying the real threats becomes incredibly difficult, and serious vulnerabilities can go unnoticed amid the noise. This is where AI in the SOC comes in.

AI has become essential for detecting and stopping sophisticated threats at scale. By rapidly filtering out irrelevant traffic, an AI SOC analyst can give human analysts a clear head start. Capable of tirelessly sifting through millions of data points, auto-remediating the majority of Tier-1 alerts, and intelligently escalating critical cases, an AI SOC analyst enables human analysts to tackle high-priority threats in real time.

This combination of AI-driven anomaly detection and response with human-led investigation for critical events is essential in today’s cybersecurity landscape, where attackers are constantly evolving their tactics. Relying on traditional methods to defend your organization against a modern attack is akin to playing checkers while the bad guys play chess.

The Early Adopter Advantage in the Age of AI

A few years ago, embracing an early adopter mindset in IT and security operations was considered risky, a gamble on unproven technology. Today, AI adoption in the SOC has become a necessity to combat existential threats. Organizations that are slow to adopt AI run the risk of being eaten alive.

The new cutting edge in AI for SecOps is agentic AI, a paradigm shift that empowers autonomous SOC operations. Agentic AI can coordinate specialized AI agents to autonomously handle cases, build workflows, write case summaries and reports, transform data, and more.

Making the shift to an early adopter mindset for AI in SecOps involves more than just deploying new tools. It requires investment in training so that security teams are equipped to leverage AI effectively and responsibly. It also requires a strategic approach to building trust in AI systems through transparency, explainability, and guardrails, ensuring that AI-driven decisions are reliable and aligned with organizational objectives.

‘The Best Practical Use of AI From Any Vendor’

Torq has GenAI and agentic AI embedded throughout our platform. We use it to help with integrations, to help build workflow automations, and to improve the quality of life of human analysts. By automating routine tasks and providing enriched insights, AI adoption in the SOC frees human analysts to focus on the most critical threats, enabling faster and more effective responses.

I was recently on a call with the CISO at a Fortune 500 company that has been a customer for over a year. She said, and I quote, “Torq has the best practical use of AI I’ve seen from any vendor.”

Ready to turbocharge your SOC with AI so you don’t get eaten alive? Get the AI or Die Manifesto to learn how to deploy AI the right way, so your SOC — and the humans in it — survive.

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AI Hyperautomation Insights

12 Common Cybersecurity Attacks and How to Stop Them with Hyperautomation

By Torq

April 10, 2025

13 Minute Read

This guide breaks down the most prevalent types of cybersecurity attacks and how they continue to evade traditional defenses. More importantly, it shows how modern SOCs are automating their defenses with Torq Hyperautomation™ — using AI-powered detection, investigation, and response to identify, prioritize, and eliminate threats at machine speed.

What Is a Cyberattack?

A cyberattack is a deliberate attempt by malicious actors to infiltrate, disrupt, or damage a computer system, network, or digital infrastructure. These attacks are typically launched to steal data, alter or destroy systems, disrupt operations, or expose sensitive information.

It’s not just about stolen data or defaced websites anymore. Today’s cybercriminals and hackers are strategic. They exploit weaknesses across your people, processes, and technology — whether it’s a vulnerable application, a misconfigured cloud setting, or a team member who clicks on the wrong link.

The motivations vary — financial gain, espionage, political disruption, or even pure sabotage — but the outcome is always costly. Successful cyberattacks can cripple operations, exfiltrate customer or proprietary data, and inflict long-term reputational damage. For regulated industries, the fallout often includes hefty compliance fines and legal consequences.

12 Types Cyberattacks — and How to Stop Them with Hyperautomation

1. Phishing & Spear Phishing

Phishing attacks are among the most widespread and successful forms of cyberattacks. They typically arrive via email, SMS, or social media, disguised as legitimate communications from trusted entities. The goal is to lure recipients into clicking malicious links, downloading malware, or submitting sensitive data such as credentials, banking information, or PII.

When it comes to spear phishing, instead of sending mass emails, threat actors craft personalized messages using information about their targets (often scraped from LinkedIn, websites, or previous breaches). This makes them highly convincing and highly effective.

Successful phishing can lead to full account takeovers, data breaches, financial theft, or further malware infections. It remains one of the top initial access vectors for ransomware attacks.

Torq Advantage: Torq Hyperautomation™ integrates with several key partners to help organizations prevent and mitigate phishing attacks and avoid costly data breaches. To defend against phishing attacks, the first line of automated protection is the email inbox. Torq integrates with Secure Email Gateway (SEG) providers like Abnormal Security, Microsoft, Proofpoint, and Mimecast to improve detection and response by correlating insights across platforms. Once a threat is identified, Torq automatically removes malicious emails and enforces updated security controls.

Key tactics include analyzing multiple email attributes for risk signals, detonating suspicious content in sandbox environments to confirm threats safely, and blocking malicious senders and domains organization-wide to stop future attacks.

2. Denial-of-Service (DoS & DDoS)

DoS attacks flood a system or server with traffic until it becomes unresponsive. DDoS attacks (Distributed Denial-of-Service) use networks of infected devices (botnets) to generate massive traffic volumes from multiple sources, making them harder to block.

DDoS attacks can cripple online services, e-commerce platforms, or customer portals, especially during peak hours. While often used to cause disruption, they can also serve as cover for more covert cyber intrusions.

Torq Advantage: Torq defends against DoS and DDoS attacks by integrating with providers like Cloudflare, Akamai, and AWS to automate real-time detection, response, and remediation. Triggered by Cloudflare alerts, Torq workflows can correlate traffic anomalies, block malicious IPs or domains, adjust firewall or rate-limiting rules, and alert teams via Slack, Teams, or ITSM.

3. Spoofing

Spoofing tricks users or systems into believing a malicious source is trustworthy, via email, IP, DNS, or even internal system impersonation. Domain lookalikes and deepfake voice or video are increasingly used in spoofing, particularly in executive impersonation fraud.

Torq Advantage: For impersonation-based spoofing like CEO fraud or Slack impersonation, Torq uses behavior analytics from IAM tools like Okta and Microsoft Entra ID: flag anomalies in sender behavior, access requests, or login locations and auto-enforce multi-factor authentication (MFA), revoke sessions, or escalate for identity verification.

4. Code Injections

SQL Injection (SQLi) is a code injection technique targeting web applications that interact with databases. Hackers can manipulate backend databases by inserting malicious SQL statements into input fields (such as login forms).

SQLi can expose or tamper with sensitive records, bypass authentication mechanisms, and even escalate access privileges. It’s especially dangerous for e-commerce, SaaS, and any app handling sensitive or financial data.

Torq Advantage: Torq protects against malicious code injection attacks by sanitizing all user inputs and workflow data using built-in utilities like jsonEscape and Escape JSON String. These steps ensure malicious payloads can’t be interpreted as executable code during automation. All scripts in Torq run in a secure, sandboxed environment with strict access controls. Torq also applies input validation and enforces least-privilege access to prevent unauthorized actions, even if injection is attempted. Additionally, every workflow execution is logged and monitored, enabling automated responses to any suspicious behavior.

5. Password Attacks

Password-based attacks aim to compromise user credentials. They come in multiple forms:

Brute force: trying every possible combination
Dictionary attacks: using common passwords
Credential stuffing: reusing leaked credentials across services

Weak passwords, lack of MFA, and poor password hygiene make systems more vulnerable. Gaining access to even one user account can allow hackers to escalate privileges, exfiltrate data, or distribute malware internally.

Torq Advantage: Torq helps protect against password attacks by automating identity-centric security workflows across your entire authentication stack. It integrates with IAM, MFA, and SSO providers like Okta, Azure AD, Duo, and Ping Identity to monitor suspicious login activity, such as brute force attempts or credential stuffing. When anomalies are detected, Torq can:

Automatically block IPs or user accounts after repeated failed logins
Enforce step-up authentication or password resets based on contextual risk
Notify SecOps teams via Slack, Teams, or ticketing systems
Correlate identity signals with threat intel to identify compromised accounts
Trigger full response workflows, including deprovisioning or re-authentication flows

By automating detection, correlation, and response, Torq reduces the exposure window and prevents password-based compromises from escalating into breaches.

6. Insider Threats

Insider threats arise from individuals within the organization — employees, contractors, or partners — who misuse their access. These threats can be malicious (data theft, sabotage) or negligent (falling for phishing, misconfiguring systems).

Insiders bypass perimeter defenses and often have direct access to sensitive assets. Detecting insider activity is difficult, making this a high-risk attack vector in regulated industries like finance and healthcare.

Torq Advantage: Torq protects against insider threats by automating the continuous monitoring, detection, and response to anomalous user behavior across identity, endpoint, and cloud systems. It integrates with platforms like Okta, CrowdStrike, Microsoft Defender, and data loss prevention (DLP) tools to detect deviations from normal activity, such as unusual login times, excessive data downloads, or privilege escalation.

7. Supply Chain Attacks

A supply chain attack targets third-party vendors, software dependencies, or service providers to reach a larger target organization. Examples include:

Malware in software updates (e.g., SolarWinds)
Compromised APIs or SDKs
Vulnerabilities in third-party platforms or logistics partners

These attacks are stealthy, difficult to detect, and highly scalable. They exploit trust relationships to bypass traditional defenses, often affecting hundreds or thousands of downstream organizations.

Torq Advantage: Torq helps prevent supply chain attacks by continuously monitoring and securing third-party integrations, tools, and services. It integrates with code repositories, SaaS platforms, package managers, and CI/CD pipelines to detect anomalies, unauthorized changes, and known vulnerabilities before they can be exploited.

These attacks exploit human behavior rather than technical flaws. Threat actors may impersonate executives (CEO fraud), fake emergencies, or build trust over time (pretexting) to trick victims into disclosing sensitive data or performing unauthorized actions.

Social engineering can bypass even the most robust technical controls. It’s often used as the first step in broader attacks like business email compromise (BEC) or ransomware deployment.

Torq Advantage: Torq protects against social engineering attacks by integrating with identity platforms to detect suspicious account activity in real time. When unusual behavior is detected, it can automatically trigger actions like step-up authentication, account lockdown, or escalation to analysts.

Torq enriches alerts with threat intelligence and behavioral context to distinguish real threats from false positives. For confirmed attacks, it automates full response, isolating users, blocking malicious domains, and notifying teams through Slack, Teams, or ticketing systems. This automation reduces analyst fatigue and ensures faster, more accurate responses to identity-based threats.

9. Zero-Day Exploits

Zero-day attacks take advantage of unknown or unpatched software vulnerabilities. Because the vendor is unaware and no fix exists at the time of the attack, these threats are extremely dangerous. Organizations have no immediate defense, making zero-days a favorite tool for sophisticated threat actors. Once disclosed, the race is on to patch before mass exploitation begins.

Torq Advantage: Torq protects against zero-day exploits by automating rapid detection, enrichment, and response workflows across your security stack. When suspicious activity or anomalous behavior is flagged by tools like EDR, NDR, or threat intelligence platforms, Torq immediately correlates the event across systems to determine risk level.

Torq enhances visibility into potential zero-day indicators using real-time enrichment from threat feeds and behavioral data. It then automatically triggers protective actions such as quarantining endpoints, isolating network segments, or blocking suspicious domains. By eliminating manual delay, Torq helps security teams contain and remediate zero-day threats before they can escalate.

10. Malware

Malware (malicious software) encompasses viruses, worms, spyware, trojans, and ransomware. It infiltrates systems to damage, disrupt, or steal data. Ransomware, in particular, encrypts files and demands a ransom payment — often in cryptocurrency — for the decryption key.

Malware is among the most prevalent cybersecurity threats, encompassing various malicious software types designed to compromise and damage systems:

Viruses attach themselves to legitimate files or programs, spread from one system to another, corrupt or destroy data, and affect system performance.
Worms replicate independently across networks, rapidly spreading without user action, causing bandwidth overload and potential system crashes.
Trojans masquerade as legitimate software, tricking users into downloading malware that provides attackers with unauthorized access to systems.
Spyware secretly gathers sensitive user information, such as login credentials and financial details, without consent.
Ransomware encrypts data, holding systems hostage until ransom payments are made, severely impacting business continuity.

Torq Advantage: When tools like EDR, SIEM, or email security platforms identify suspicious file behavior, Torq automatically enriches the alert with threat intelligence, correlates it across systems, and launches predefined remediation workflows. These can include isolating infected endpoints, disabling compromised accounts, blocking malicious domains, and alerting internal stakeholders via Slack or ticketing systems.

11. Ransomware

Modern ransomware groups operate like organized businesses, using affiliate models (RaaS) and combining extortion with data leaks to increase pressure on victims.

Ransomware can shut down entire business operations for days or weeks. The financial impact includes ransom payments, incident response costs, lost revenue, and reputational damage. Sectors like healthcare, government, and retail are frequent targets.

Torq Advantage: Torq’s Hyperautomation capabilities help stop the attack early by instantly identifying abnormal encryption activity or lateral movement, triggering actions like locking down file shares, suspending network access, and kicking off recovery protocols. Torq also enables proactive protection by scanning IOCs from threat intelligence sources and applying them across your environment, preventing known malware from ever reaching your systems.

By automating investigation and response from detection to remediation, Torq helps reduce dwell time, minimize damage, and keep ransomware and malware threats from escalating into full-blown business crises.

12. AI-Powered Attacks

AI-powered threats aren’t just more efficient — they’re more deceptive, personalized, and scalable than anything seen before. They mimic humans, adjust based on feedback, and execute attacks autonomously at a scale no SOC could keep up with manually.

AI-powered cyberattacks differ from traditional threats due to:

Smarter threat intelligence: Unlike static, rules-based attacks, AI-powered threats learn from failed attempts and continuously optimize their strategies.
Autonomous targeting: AI automates target discovery, scouring public data, social profiles, and exposed assets to pinpoint weaknesses.
Personalized deception: Spear phishing becomes supercharged. AI customizes phishing campaigns based on granular details about each target, dramatically increasing success rates.
Deepfake impersonation: AI enables real-time creation of convincing voice or video deepfakes, fueling new forms.

As AI continues to evolve, so do the threats, making intelligent, automated defense essential.

How to Protect Against Cyberattacks

Employee training: Regularly train staff to recognize and report phishing, BEC, and social engineering threats.
Multi-factor authentication: Add identity layers like biometrics or tokens to stop attackers, even if passwords are stolen.
Password policies: Enforce strong, unique passwords and promote password manager use to prevent easy account takeovers.
Security audits: Run regular audits and vulnerability scans to find and fix security gaps before attackers do.
Threat detection tools: Use AI-driven tools for real-time visibility and faster threat detection across your environment.
Incident response plans: Create and test IR plans to act fast, minimize damage, and recover quickly after attacks.
Automate with Torq Hyperautomation: Eliminate manual tasks with AI-driven workflows that detect, triage, and respond to threats in real time.

Combatting Cyberattacks with Hyperautomation

The speed, volume, and complexity of today’s cyberattacks have outpaced what humans can handle alone. Traditional security models rely heavily on manual processes — analysts combing through alerts, chasing down indicators of compromise, and triggering containment steps one by one. That’s not just inefficient — it’s dangerous.

By combining intelligent automation with AI-driven decisioning, Torq Hyperautomation empowers security teams to detect, investigate, and respond to threats at machine speed. Instead of drowning in noise, analysts are armed with context-rich insights, automated playbooks, and dynamic workflows that act instantly across their entire security stack.

Here’s how:

Instant threat detection and prioritization: Torq listens across your entire security stack, continuously ingesting and analyzing signals. Our multi-agent system instantly triages threats based on risk, business context, and policy.
End-to-end case automation: Torq auto-generates security cases, populates them with all the evidence and context, and assigns them based on team workflows. No more swivel-chair analysis. Just the right response, right now.
AI-driven investigation and remediation: With Socrates, our agentic AI SOC Analyst, Torq doesn’t just respond; it thinks. It uses real-time threat intelligence, enriches alerts, recommends the next best action, and even auto-remediates incidents across your environment.

Stay Ahead of Cyber Threats with Torq Hyperautomation

Cyberattacks aren’t slowing down, and neither should your defenses. Understanding the most common types of cyberattacks is only the beginning. The real advantage comes from responding faster, smarter, and at scale. Torq Hyperautomation transforms your SOC with intelligent, AI-driven workflows that detect, investigate, and neutralize threats in real time, before damage is done.

Ready to see how Torq can revolutionize your cybersecurity operations with advanced automation and AI-driven security response?

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Evolution Equity Partners’ Portfolio Companies Tackle a Cyber Crisis

By Patrick “PO” Orzechowski

April 7, 2025

4 Minute Read

Patrick Orzechowski (also known as “PO”) is Torq’s Field CISO, bringing his years of experience and expertise as a SOC leader to our customers. PO is a seasoned security veteran with a deep understanding of the modern security landscape. You can find him talking to SOC leaders and CISOs from major brands at cybersecurity events around the world.

I recently took part in a cyber crisis simulation event which showcased Evolution Equity Partners’ portfolio companies and made Torq’s real-world value strikingly clear.

The simulation presented a realistic scenario: a data breach at a fictional wealth management firm, with the attack’s progression followed through detection, investigation, response, and resolution. Participating companies included Torq, Sweet Security, Oleria, Halcyon, and Cytactic.

This cyber simulation reinforced the need for proactive security: automation, robust identity management, and agile cloud response. It also underscored the importance of having a crisis management system in place for simulating a live event — so when the inevitable happens, all teams, stakeholders, and external parties that need to be involved in resolving a major incident are included from the beginning.

A Cyber Crisis Simulation Unfolds

1. Detecting the Impossible Alert

The initial attack factor in the simulation was a compromised credential initially identified by an “impossible journey” detection in Torq’s AI-native Hyperautomation platform. Torq was able to identify this impossible travel through authentication logs that contained geographical source login information.

The targeted financial services company had several layers in place to detect and respond to these types of attacks, so the incident was kicked off through the initial case management system in Torq.

Through its AI-powered automated response capabilities, Torq’s platform triaged, enriched, and investigated the alert, ultimately determining that it required escalation.

Inside Torq’s platform, this event could then be tracked by the SOC throughout the incident lifecycle until being handed off to Legal, PR, and potentially cyber-insurance and external incident response partners.

2. Confronting the Extortion

After the initial attack, it was determined that the user did in fact access sensitive information contained in an S3 bucket, which was detected by Sweet Security’s unified detection and response platform.

Once the attacker procured the data, they sent an extortion threat letter to the company which included screenshots of contracts and other sensitive information. At this point, management had to:

Decide whether or not to disclose the breach
Determine whether or not the breach was “material”
Assess if they need to contact their customer base.

From there, Oleria identity security platform discovered the attacker had gained access to an insecure SharePoint site, but only accessed a limited amount of sensitive data.It was determined that the SharePoint site needed to be secured and, due to the limited data exposure, a negotiation team was brought in. They then found that the attacker was attempting to move laterally through the company’s systems.

3. Stopping Ransomware Escalation

From there, the company deployed Halcyon’s ransomware defense solution to determine if ransomware was active. Halcyon successfully detected and blocked infections on the systems where it was installed, but the attacker was able to begin encryption on systems where it was not.

The company then engaged Halcyon’s Professional Services to attempt to decrypt what the attacker was encrypting without having to pay for the keys.he keys.

Minimal Damage, Maximum Defense

In the end, the company was able to handle the incident without a breach disclosure and minimal impact to customer operations. This event could have been much worse if the services company did not have advanced detection and response capabilities already deployed within its security stack.

Torq streamlined detection and initial investigation through SOC automation and integration with the entire security stack.
Sweet Security correlated alerts and prevented exfiltration attempts in the cloud.
Oleria uncovered user account activities and assessed breach scope.
Halcyon blocked ransomware escalation and secured endpoints.
Cytactic enhanced tracking and decisionmaking capabilities for incident response.

Learn how Torq and Sweet Security operationalize cloud security automation >

Building Cyber Resilience through Proactive Simulation

This “impossible journey” simulation demonstrated the critical importance of establishing effective cybersecurity strategies and deploying innovative security solutions.

Proactive cyber crisis simulations enable businesses to build resilience and minimize the impact of potential attacks by:

Identifying vulnerabilities.
Improving mean time to detect and respond
Testing incident response plans
Improving decision-making under pressure
Understanding the impact of cyberattacks
Facilitating learning and continuous improvement

Want to learn more about leveling up your SOC’s automation and autonomous response capabilities? Read the SOC Automation Pyramid of Pain.

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Generative AI Cybersecurity: What It Is, What It Isn’t, and What Comes Next

By Torq

April 3, 2025

7 Minute Read

How Can Generative AI Be Used in Cybersecurity?

GenAI is built on deep learning, a subset of machine learning, using large neural networks known as transformers. These transformers are trained on billions of data points and optimized to understand and mimic language, behavior, and structure.

Many GenAI systems are modeled after GPT (Generative Pretrained Transformer), which has learned how to respond to prompts in human-like ways by identifying patterns across massive data sets.

Here are some ways Generative AI can be used in cybersecurity:

Triage and enrichment: GenAI can automatically triage incoming alerts, enrich data from SIEM, EDR, and other sources, and generate clear, concise summaries.
Threat detection: Trained on historical attack data and threat patterns, GenAI models can identify indicators of compromise (IOCs) and anticipate emerging tactics.
Case documentation: Generative AI can produce case reports, threat timelines, and case summaries. These auto-generated insights reduce the need for manual documentation and simplify compliance reporting.
Threat hunting: Security analysts can use GenAI to query threat intelligence databases and data lakes using natural language prompts. This simplifies threat hunting workflows and empowers junior analysts to work at a higher level.
Workflow design: GenAI allows users to describe desired automations in natural language, which the system then converts into executable workflows. This eliminates the need for manual scripting and accelerates automation adoption across teams.

All of this helps analysts move faster — but it’s still reactive. It still requires humans in the loop. And it’s still just the beginning.

Challenges of Using Generative AI Alone

Without the right guardrails, GenAI in cybersecurity comes with serious risks:

Accuracy issues: GenAI can hallucinate. That means it can produce outputs that are confidently wrong. And in cybersecurity, that’s dangerous. An inaccurate summary of a threat, a misidentified IOC, or a fabricated correlation can derail an investigation, waste valuable analyst time, or worse, lead to improper remediation actions.
Data privacy: GenAI models are only as good as the data they’re trained on and how that data is handled. Feeding sensitive logs, incident data, or user information into GenAI without proper controls can lead to unintentional exposure of private data or regulatory violations. This is especially risky in regulated industries (finance, healthcare, etc.), where compliance failures come with heavy penalties.
Infrastructure overhead: Running LLMs requires serious computing, storage, and ongoing management. Even when using APIs from providers, the costs of integrating, fine-tuning, and securing the system can add up quickly. Without a well-architected platform, organizations often end up with fragile, expensive prototypes that don’t scale.
Threat actor access: You’re not the only one using GenAI. Threat actors are, too. From auto-generating phishing emails and malware variants to simulating voices or bypassing MFA with deepfakes, adversaries are industrializing their attacks with the same tools defenders are exploring.

This is why GenAI alone doesn’t cut it. It enhances the SOC — but it doesn’t free it. It still relies on humans to verify outputs, make decisions, and connect the dots. To truly transform security operations, you need more than content generation — you need contextual understanding, autonomous action, and real-time orchestration.

That’s why Torq goes beyond GenAI — combining it with agentic AI, Hyperautomation, and RAG-powered microagents to deliver a self-sustaining, intelligent SOC.

IDC: GenAI is Just the Beginning

A recent IDC Spotlight Report reinforces what leading cybersecurity teams already suspect: Generative AI is only the beginning. The real transformation happens with agentic AI.

Although only 7% of organizations are using agentic AI today, 60% expect it to impact their SOC operations within the next 18 months significantly. The benefits are tangible: organizations embracing this shift are seeing a 50% reduction in mean time to detect (MTTD), automated response for 90% of alerts, and a 35% lower risk of major breaches.

Torq’s HyperSOC platform, powered by agentic microagents, delivers exactly the kind of automation and intelligence IDC highlights — and it’s already available today.

Torq’s Take: From Generative AI to Autonomous Cybersecurity

At Torq, generative AI in cybersecurity was just the beginning. We combine GenAI with agentic AI, Hyperautomation, and Retrieval-Augmented Generatio n (RAG) to create what no one else in the market has: a truly autonomous SOC.

Agentic AI: Thinks Like a Human Analyst

Agentic AI is the brain behind the operation. Torq’s multi-agent system, led by Socrates, understands context, makes decisions, and learns from experience. How?

It uses semantic memory to understand relationships between threats, assets, and users.
It applies episodic memory to recall past incidents and resolutions.
It executes using procedural memory, adapting workflows in real-time based on its growing knowledge base.

Unlike GenAI, which waits for a prompt, agentic AI acts independently. It triages alerts, investigates root causes, and escalates only when necessary — moving SOCs from a human-in-the-loop to a human-on-the-loop approach. That means analysts step in only when they’re truly needed.

Hyperautomation: Machine-Speed Response Across Your Stack

Torq’s Hyperautomation engine seamlessly orchestrates your entire security ecosystem — across EDR, SIEM, IAM, email security, ticketing systems, cloud platforms, and beyond.

These AI-driven workflows:

Automatically isolate compromised endpoints
Revoke credentials and enforce MFA
Trigger alert suppressions and log escalations
Sync case updates across your tools of record

Hyperautomation connects all the dots — transforming detection into response with zero delay.

RAG-Enabled Microagents: Smarter Agents

Retrieval-augmented generation (RAG) enhances our specialized AI Agents with memory, precision, and real-time data access. Each microagent is trained on a specific domain, like investigation, remediation, or case management, and uses RAG to:

Pull in relevant threat intel, logs, and past incidents
Filter out noise and focus only on actionable data
Generate concise, accurate case summaries and recommendations

Think of them as subject matter experts inside your AI-powered SOC — each one armed with a knowledge base that updates every second.

Defending Against GenAI Security Threats

Adversaries are using GenAI too — for phishing, deepfakes, malware variants, and more. That’s why Torq’s defense stack includes:

Behavioral detection: We spot the telltale signs of GenAI-generated attacks such as weird phrasing, impossible travel, or AI-crafted obfuscation.
Automated response: The second a threat is flagged, Torq acts. Endpoints isolated. Credentials locked. Sessions terminated. Tickets opened. Teams alerted. No hesitation.
Adaptive workflows: Attackers adapt. So do we… automatically. Torq’s workflows update themselves based on real-time threat intel, evolving tactics, and active defense insights. What was a one-off attack yesterday becomes a blocked pattern today.

Go Beyond GenAI Cybersecurity with Torq

Generative AI in cybersecurity got us started — summarizing alerts, drafting playbooks, and answering questions. But Torq takes it further.

With agentic AI, Torq’s platform went from suggestion to autonomous decision-making. With Hyperautomation, Torq executes those decisions instantly across your entire stack. And with RAG-enabled microagents, every move is precise, contextual, and based on real-time intelligence.

That’s how you build a truly autonomous SOC.

Want to go beyond GenAI cybersecurity? Get the AI or Die Manifesto.

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Unleash a Multi-SIEM Strategy with Hyperautomation

By Torq

April 3, 2025

5 Minute Read

What is a SIEM?

A SIEM (Security Information and Event Management) is a cybersecurity solution that collects, analyzes, and correlates security data from across an organization’s IT environment to detect threats, monitor activity, and support incident response and compliance. A SIEM can:

Ingest logs from sources like firewalls, endpoints, and applications
Correlate data to spot suspicious activity
Generate alerts for potential threats
Provide dashboards to help analysts investigate

What is SIEM Integration?

SIEM integration means connecting your SIEM to an orchestration and automation layer that amplifies its value without replacing it. Integrating an AI-driven Hyperautomation platform like Torq with your SIEM allows you to automate alerts, enforce policy-driven responses at machine speed, and orchestrate actions across your entire security stack.

The SIEM Struggle is Real

In The Evolution of the Modern Security Data Platform by Francis Odom and Josh Trup, legacy SIEM costs are largely indexed to data volume — meaning the more you ingest, the more you pay. This outdated pricing model is one of the biggest blockers to scaling detection across modern environments.

SIEMs were also built for an on-prem world, not the cloud-native environments we operate in today. As more and more technologies shift to the cloud and SaaS sprawl grows, the volume of logs, events, and alerts increases exponentially.

Top SIEM challenges include:

Excessive operational cost tied to ingestion and retention
Alert fatigue and time-consuming manual triage due to excessive noise
Tool sprawl and integration complexity
Difficulty scaling across hybrid and multi-cloud environments
Log retrieval penalties that make data migration expensive

Yet, despite these issues, most teams are not abandoning their SIEMs. Why? Because the cost and compliance risk of a rip-and-replace approach are even higher. This is where the multi-SIEM strategy emerges.

The Rise of the Multi-SIEM SOCs

Rather than choosing one SIEM to rule them all, forward-thinking SOC teams are embracing a multi-SIEM or hybrid SIEM architecture. Sometimes, this shift is born out of necessity, such as after mergers and acquisitions, where multiple SIEMs are bundled with the deal. At other times, it’s driven by a decline in trust in legacy SIEM innovation following industry shakeups and buyouts.

Legacy SIEMs charge by the byte, and with data volumes exploding, the cost to ingest, store, and retrieve logs has become unsustainable. Instead of a risky rip-and-replace, teams strategically minimize what they send to legacy platforms and route the rest elsewhere.

To solve this, a wave of cloud-native, next-gen SIEM alternatives and data platforms has emerged: ETL orchestrators, cloud security data lakes, and multi-data SIEMs. These tools cleanse, normalize, and route logs more intelligently. Some even decouple analytics from storage to power faster, cheaper real-time detection across hybrid environments.

Even for organizations that keep regulated data on-premises, new logs are increasingly routed to more flexible, lower-cost systems. It’s a smart move — but only if you have a way to connect and orchestrate it all.

Hyperautomation Makes SIEMs Better

Hyperautomation is the key to unlocking the full potential of a modern SIEM strategy. Torq Hyperautomation™ is the AI-driven orchestration layer that sits above your entire SIEM ecosystem. Whether you use one SIEM or several, Torq can connect the dots across tools, teams, and workflows to transform disparate data into actionable intelligence and automated responses.

Once integrated, Torq can:

Run parallel workflows across multiple SIEMs
Automate triage, investigation, and response across platforms
Reduce alert fatigue without disrupting existing operations
Build and deploy SIEM automations with drag-and-drop or natural language
Use Torq HyperSOC™ to auto-generate and resolve 95% of Tier-1 cases with agentic AI

Check Point SIEM and Torq Hyperautomation Integration Story

Check Point’s security team was in alert overload — not due to a lack of tooling, but because their SIEM was generating more noise than their lean SOC could handle. With a 30–40% manpower gap, traditional triage and manual response weren’t sustainable.

Unlike legacy SOAR tools, Torq didn’t require Check Point to overhaul its SIEM or change how data was collected. Instead, Torq integrated directly into its existing SIEM infrastructure, ingesting and analyzing alerts. Within days, Check Point had deployed more than two dozen automated playbooks that operate natively across its security stack.

With Torq’s intelligent orchestration layer acting on SIEM-generated alerts — from triggering MFA to locking suspicious accounts — Check Point transformed a high-volume, high-fatigue environment into a streamlined, autonomous SOC.

“With Torq HyperSOC, we can react automatically to problems before they become security incidents.”
Jonathan Fischbein, CISO, Check Point

Read Check Point’s full SOC transformation story here >

The Future: Autonomous SOCs Powered by AI + SIEM

The SIEM space is evolving fast. But legacy contracts, compliance requirements, and data gravity aren’t going away tomorrow. The future isn’t about replacing your SIEM. It’s about operationalizing it with AI.

With Torq, you can:

Connect any SIEM (or all of them)
Orchestrate security automation across platforms
Transform log overload into real-time response
Move toward an autonomous SOC without sacrificing control

Want to learn more about adopting AI in the SOC? Get the AI or Die manifesto to learn how to think strategically about AI in SecOps — from data privacy to AI hallucinations.

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Operationalize Data Security Automation with Cyera and Torq

By Torq

April 1, 2025

4 Minute Read

Once data insights are uncovered, SOC teams must take swift and consistent action. Torq’s platform operationalizes Cyera’s data security intelligence, organizing remediation and policy enforcement with machine-speed efficiency. Together, Cyera and Torq enable SOCs to protect sensitive data and intellectual property quickly, precisely, and accurately.

Solving Data Security’s Greatest Challenges

Today’s landscape has opened a paradox. Organizations rely on data for business to thrive, yet the more data is generated, the harder it is to secure. Sensitive information is being spread everywhere, stored in cloud buckets, shared across SaaS apps, and accessed by a growing number of users and systems. SOC teams are tasked with protecting this sprawling landscape, but the sheer volume of alerts and manual processes makes it nearly impossible to keep up.

Cyera cuts through this noise, giving teams a clear view of what sensitive data exists, where the data lives, who (or what) has access to it, and the risks the data faces. Cyera’s approach is rooted in clarity — mapping the attack surface and delivering insights needed to protect critical assets.

This is where Torq comes in. By integrating with Cyera, Torq automates the actions required to secure data, eliminating inefficiencies and enabling SOC teams to instantly respond to data risks.

Data Security Automation at Work

When Cyera identifies a risk, such as an exposed cloud storage bucket or an anomalous data transfer, Torq acts immediately to execute tailored workflows, automating everything from remediation to stakeholder notifications. Here’s how Cyera and Torq work together:

Comprehensive Data Discovery: Cyera scans your environment to identify sensitive data, classify it, and assess its risk profile.

Real-Time Insights: When Cyera detects an anomaly or identifies a risk, it triggers an event and passes the data insights along to Torq

Automated Orchestration: Torq picks up the baton, automatically launching workflows tailored to the specific alert, whether that’s notifying the right stakeholders, enforcing security controls, or triggering remediation actions.

Continuous Improvement: Cyera and Torq enable SOC teams to refine processes iteratively, reducing noise and improving response efficiency over time.

For example:

Cyera flags a misconfigured cloud storage bucket as containing sensitive PII. Torq automatically executes a remediation workflow, closing the bucket’s exposure and notifying relevant teams.
Cyera identifies an anomalous data transfer from a high-risk location. Torq not only alerts analysts but also enriches the alert with context and executes automated containment actions.

Cyera and Torq: Better Together

What makes Cyera and Torq a revolutionary pair is the shared commitment to scalability, speed, and precision. Cyera’s intelligence provides a clear path forward, while Torq delivers the power to act quickly and precisely.

Everyone in cyber knows speed is no longer an option. Manual processes simply can’t keep pace with the breakneck pace of today’s security landscape. Torq and Cyera together turn hours of work into seconds, automating everything from alert triage to remediation. Cyera provides 95% precision classification, while data security automation workflows from Torq ensure every response is consistent, reliable, and error-free, even under the pressure of an escalating incident.

As your organization grows, so do your risks. Cyera and Torq scale effortlessly, adapting to evolving needs and protecting data across clouds, Saas platforms, and beyond.

Elevate Your SOC

The integration of Cyera and Torq sets the new standard for what SOC teams can achieve with data security automation. By combining Cyera’s data-first approach with Torq’s automation expertise, organizations gain the tools to move faster, act smarter, and confidently secure data.

Request a demo today to see how Cyera and Torq can transform your SOC.

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What is Security Automation? A Comprehensive Guide for Modern SOCs

By Torq

March 28, 2025

11 Minute Read

What is Security Automation?

Security automation leverages automated workflows to handle critical cybersecurity tasks at machine speed— eliminating time-consuming manual processes like threat detection, analysis, and response. By automating these repetitive tasks, organizations can increase efficiency and accuracy and ensure a consistent security posture against threats.

The gold standard of security automation is AI-driven Hyperautomation, enabling security teams to move beyond simple automation and build an autonomous SOC for even greater efficiency and security gains.

Cybersecurity is essential to every organization — but without automation, it’s slow, resource-intensive, and prone to human error. Manual workflows bog down security teams, stretching time and resources thin while leaving gaps in threat detection, assessment, and remediation. Automating security not only accelerates response times but also ensures accuracy, eliminating costly mistakes and inefficiencies.

Cybersecurity automation uses technology to identify, understand, and respond to threats within your organization’s environments and to execute repetitive and time-consuming tasks. In other words, when you automate security, much of the grunt work can be handled by software, with limited, if any, manual intervention. This is especially useful when dealing with a high volume of alerts, allowing the software to filter out the low-priority and false positives threats and prioritize the critical ones, escalating to human analysts only when necessary.

Security automation has become table stakes for SOC teams in today’s connected digital world.

How Security Automation Works

Security automation functions by integrating data from numerous security tools, applying artificial intelligence (AI) for threat detection, and enabling autonomous decision-making for immediate response.

Hyperautomation combines GenAI, agentic AI, and extensive integration capabilities to enable seamless, real-time threat management across all environments, significantly enhancing detection and response capabilities.

Why is Security Automation Necessary?

Large organizations, from Fortune 500 companies to global multinationals, face existential security challenges that demand security automation solutions, including:

Expanding attack surface: Security teams face alerts on alerts on alerts, from phishing and endpoint vulnerabilities to insider threats and fraud. Without automation to filter, prioritize, and respond to these threats at machine speed, teams simply can’t keep up.
Global cybersecurity talent shortage: According to ISC2, the estimated cybersecurity workforce gap is 4.76 million. SOC teams are stretched thin, and this problem is only getting worse. As tech stacks expand across multi-cloud environments, security teams’ capability to manage them is maxed out. Cloud security automation isn’t replacing analysts — it’s making their jobs possible.
Siloed security architecture: SecOps teams manage 70+ security tools across environments. Without integrations to combine these workflows, security teams face misaligned processes, inefficient work, and manual effort that slow down response times.

“60% of line of business users agree an inability to connect systems, apps and data hinders automation.” – ZDNET

Benefits of Automating Security

Enhanced efficiency: Cybersecurity automation eliminates repetitive tasks like data analysis and incident investigation. By streamlining workflows, security teams can dramatically reduce time-consuming processes, improve mean-time-to-respond (MTTR), and alleviate operational fatigue — boosting productivity, agility, and overall security resilience.

More accurate response: Manual processes run the risk of human error. Security automation minimizes this risk by implementing consistent detection and quicker responses. It also shortens the time-to-action for remediation, preventing further risks to the business.

Reduced analyst burnout: By automating time-consuming manual processes, security automation lightens workloads and prevents the constant alert fatigue that drains security teams. Automation frees up time for analysts to develop their expertise instead of getting bogged down in repetitive, busy work.

Scalable deployment: Automation in security centralizes tooling, enriches security cases with contextual intelligence, and provides real-time updates across platforms for seamless teamwork.

Reduced costs: Automation can help optimize resources and operational expenses by eliminating manual tasks, streamlining workflows, reducing the need for specialized staff, and improving resource allocation. It can also help avoid data loss, reputational damage, and other financial losses from security incidents.

Stronger compliance: Leveraging security automation tools to manage reporting and compliance activities decreases regulatory risk.

Faster MTTD/MTTR: Reduces alert fatigue by quickly identifying and remediating threats.

Autonomous Case Management: AI-driven automation manages incidents from detection through resolution, eliminating manual bottlenecks.

Full-lifecycle Response: Comprehensive automation enables end-to-end threat handling.

Cybersecurity Automation Types and Tools

Several tool types enhance security automation:

Hyperautomation: Combines advanced AI, machine learning, and integration capabilities, enabling autonomous decision-making and remediation, thus significantly outperforming traditional tools.
XDR (Extended Detection and Response): Provides integrated visibility and automated responses across endpoints, network, and cloud environments.
SOAR (Security Orchestration, Automation, and Response): Coordinates security tools, automating predefined responses (though now largely replaced by Hyperautomation).
AI Ops (Artificial Intelligence Operations): Uses AI to analyze vast datasets, detect anomalies, and automate responses proactively.

Best Practices for Security Automation

Maximizing security automation ROI requires:

Integration: Ensure seamless integration with existing tools
Customization: Tailor automation workflows to organizational needs
Regular Updates: Continuously update and refine automated systems
User Training: Equip analysts to leverage automated systems fully

Challenges and Limitations of Security Automation

Common challenges around security automation include:

Integration complexity: Difficulty linking legacy tools and data silos.
False positives: High false-positive rates from insufficient intelligence and correlation.
Operational complexity: Challenges in maintaining complex automation rules.

Torq solves these challenges with agentic AI, providing seamless integration, adaptive workflows, and accurate threat response.

Security Automation vs. Security Orchestration and SOAR

It’s easy to assume security automation and orchestration are synonymous, but there are many important differences between the two.

Security orchestration was intended to create a more streamlined workflow when connecting multiple tools and processes for security teams to act with greater efficiency and confidence. We all know this didn’t happen (See: SOAR is Dead Manifesto).

SOAR platforms are slow, rigid, and don’t actually speed up processes for SOC teams. With limited integrations, outdated technology, and running on a single server, legacy SOAR hinders security teams’ ability to detect and respond to threats across environments. SOARs were a foundational tool for many SOC teams but are rapidly being replaced by security automation.

Cybersecurity automation brings together different teams, processes, and technologies to drive more efficient and scalable operations across a much broader scope. It does this through no-code, low-code, and even AI-generated workflow building, meaning that these tools can be used by just about anyone, not just security engineers, to define risks, enforce security rules, and remediate threats.

SOAR was built to automate security workflows, but it’s slow, complex, and requires extensive coding. Security Hyperautomation is the next evolution, eliminating inefficiencies with AI and no-code automation. Here’s how they compare.

Security Hyperautomation vs. SOAR

	Security Hyperautomation	SOAR
Architecture	✔ Cloud-native architecture, elastic scaling	X Monolithic architecture, limited scaling
Integrations	✔ Limitless, extensible, continuous API updates	X Limited, inflexible, requires custom dev
Efficiency	✔ Helps manage risks at scale without adding headcount or requiring specialized resources	X Requires extensive resources and constant maintenance
Accessibility	✔ Allows all stakeholders to define and enforce security requirements	X Requires cybersecurity expertise to configure and operate
Automated Response	✔ No-code automation frameworks can automate threat response based on rules	X Focuses more on orchestrating responses by security professionals than remediating
AI Capabilities	✔ Built-in AI agents for autonomous remediation, workflow building, data transformation, and more	X Limited or non-existent
Analyst Productivity	✔ High, 10x+ operational boost	X Low, prone to burnout
Overall Effectiveness	✔ Future-proof solution, providing comprehensive security coverage and automation	X Limited flexibility, struggles to meet modern SecOps demands

Ready to pull the plug on your SOAR? Get the migration guide >

How to Pick the Right Security Automation Tool

Choosing the right security automation solution isn’t just about checking a box — it’s about finding a platform that seamlessly integrates with your existing security stack, scales with your needs, and actually delivers on the promise of efficiency and protection. Here’s what to consider:

1. Integration and Compatibility

An enterprise security automation platform is only as good as its ability to integrate with your existing tools. Look for a solution that offers out-of-the-box integrations with all of your key security and IT infrastructure, as well as the flexibility to build custom integrations without requiring extensive coding. The best platforms eliminate manual bottlenecks by enabling security teams to connect their entire stack effortlessly — without waiting on vendor updates or custom development work.

2. True No-Code vs. Customization Capabilities

Some solutions claim to be “no-code” but still require extensive scripting to handle real-world security scenarios. Choose a platform that provides both no-code simplicity and AI-generated workflow building. You shouldn’t have to choose between ease of use and flexibility. A well-designed security automation tool allows security professionals of all skill levels to build workflows while still enabling advanced users to fine-tune automations for complex use cases.

3. AI-Driven Decision Making

Cybersecurity automation has evolved beyond simple if-this-then-that workflows. Modern solutions, like agentic AI-powered automation, don’t just execute pre-defined rules — they can analyze threats in real time, correlate signals across multiple tools, and autonomously remediate low-risk incidents. When evaluating platforms, look for AI-driven insights and contextual automation that help security teams make smarter, faster decisions.

4. Speed and Scalability

At this stage, you should evaluate potential security automation solutions with a Proof of Concept (POC), focusing on ROI and time-to-value. Choose the use cases that are mission-critical to your organization to assess how quickly and easily they can be operational. Additionally, ensure the platform can scale with your needs — handling increasing volumes of security events without performance degradation or the need for constant tuning.

5. Vendor Vision

Security threats evolve daily, and your security automation solution should grow with them. Choose a vendor with a clear vision for innovation — one that’s actively incorporating AI, Hyperautomation, and advanced case management capabilities. The best platforms don’t just keep up with security trends — they redefine them.

Common Security Automation Use Cases and Examples

Identity and access management (IAM): Automates access control, reducing manual errors.
Threat hunting: Continuously detects and responds to threats proactively.
Cloud security posture management (CSPM): Ensures compliance across cloud environments.
Email security: Automates detection and remediation of phishing and malware.
Incident response: Accelerates and automates alert triage and threat containment.
Vulnerability management: Automates scanning, prioritization, and remediation.

Major Regional Bank Accelerates Phishing and Ransomware with Security Automation

A leading regional financial services organization turned to Torq for security automation to eliminate slow, inconsistent security responses and automate critical processes across its SOC. Facing a growing volume of phishing, ransomware, and fraud threats — along with a shortage of security analysts — the bank needed a solution that could streamline alert triage, investigation, and remediation in real time.

Bypassing legacy SOAR solutions, this top 30 bank found the Torq Hyperautomation platform to be the best fit. By deploying Torq’s low-code/no-code security automation, the bank built and launched 100+ workflows in just three months, reducing mean time to investigate (MTTI) from hours to minutes. Torq’s limitless API integrations easily integrated with the bank’s existing security stack, allowing for a unified, automated approach to phishing and ransomware mitigation.

Read their story >

The Future of Security Automation: Torq Hyperautomation and the Autonomous SOC

Security automation is an important step in modernizing cybersecurity, eliminating manual processes, and accelerating threat response. But the story doesn’t end there.

The evolution of security automation and AI for security operations. — Explore the evolution of security automation and AI for security operations >

Security Hyperautomation enables SecOps to operate on a new scale thanks to AI-driven decision-making, adaptive workflows, and full-stack interoperability. This shift is powering a natural evolution toward the autonomous SOC, where AI doesn’t just automate security processes but also intelligently manages and optimizes them in real time.

Unlike traditional security automation, which focuses on predefined rule-based responses, Torq Hyperautomation dynamically connects disparate tools, enriches alerts with real-time intelligence, and autonomously executes remediation — all without manual intervention. It integrates AI and large language models (LLMs) to instantly correlate signals across multiple sources, filter false positives, and prioritize critical threats.

Where security automation removes friction, Hyperautomation eliminates inefficiencies entirely — allowing organizations to move from reactive to proactive, self-sustaining security operations. Agentic AI-powered automation can investigate, escalate, and remediate threats autonomously, closing security gaps faster than ever. AI-powered Hyperautomation doesn’t just improve security workflows — it redefines how modern SOC teams operate.

Get Started with Torq Hyperautomation

Choosing the right vendor is crucial — Torq offers unmatched AI capabilities, rapid time-to-value, seamless integration, and true no-code flexibility. See how Torq transforms your SOC into an autonomous security powerhouse.

Want to see how AI-powered security Hyperautomation can transform your SOC?

Get a Demo

Contents

Why Traditional Cybersecurity Can’t Keep Up

What is AI in Cybersecurity?

How AI in Cybersecurity Prevents Cyberattacks

How Torq Uses AI to Power Security Operations

AI-Enhanced Playbooks

Automated Threat Analysis Across Hybrid Environments

Policy Enforcement Without Human Intervention

Behavior-Based Triggers for Autonomous Workflows

Always Learning, Always Improving

5 Benefits of Using AI in Cybersecurity

1. Faster Threat Detection and Incident Response

2. Reduced False Positives and Alert Fatigue

3. Enhanced Visibility Across Hybrid Environments

4. Continuous, Adaptive Protection

5. More Efficient Security Operations With Fewer Resources

The Future of Cybersecurity is AI-Driven — And It Starts with Torq

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Contents

What is SIEM and What Does It Do?

Limitations of SIEM (And What Torq Adds)

Top SIEM Benefits + How Torq Takes Them to the Next Level

Centralized Visibility Across the Enterprise

Faster Threat Detection and Response

Better Context and Correlation Across Events

Improved Incident Investigation and Forensics

Easier Compliance and Audit Readiness

Reduces Alert Fatigue with Intelligent Filtering

Enables Long-Term Log Retention and Trend Analysis

SIEM + Hyperautomation: Automate, Orchestrate, and Accelerate Your SOC

Orchestrating Automated Incident Response

Enriching Alerts with Real-Time Context

Connecting SIEM with External Systems

Auto-Remediating Low-Risk Threats

Reducing MTTR and Cybersecurity Analyst Fatigue

Maximizing SIEM Benefits with Hyperautomation: The Check Point Success Story

Unlock SIEM’s Full Potential with Torq Hyperautomation

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Contents

Leading the Charge: Torq HyperSOC-2o and the Revrod Leap

Beyond Legacy SOAR: A Generational Leap in SOC Automation

Inside Torq HyperSOC-2o: AI Agents on the Front Lines

Real Results: Faster Responses, Greater Scale, Happier Analysts

The Road Ahead: How AI Agents Will Redefine Cybersecurity Operations

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Don’t Play Checkers While Attackers Play Chess

The Early Adopter Advantage in the Age of AI

‘The Best Practical Use of AI From Any Vendor’

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Contents

What Is a Cyberattack?

12 Types Cyberattacks — and How to Stop Them with Hyperautomation

1. Phishing & Spear Phishing

2. Denial-of-Service (DoS & DDoS)

3. Spoofing

4. Code Injections

5. Password Attacks

6. Insider Threats

7. Supply Chain Attacks

8. Social Engineering Attacks

9. Zero-Day Exploits

10. Malware

11. Ransomware

12. AI-Powered Attacks

How to Protect Against Cyberattacks

Combatting Cyberattacks with Hyperautomation

Stay Ahead of Cyber Threats with Torq Hyperautomation