The security operations center (SOC) is the heart of modern cybersecurity, but as threats scale, so must your ability to respond. That’s where SOC automation comes in. 

SOC automation transforms how security teams detect, investigate, and remediate threats by eliminating repetitive manual work. Automated SOCs boost speed, efficiency, and accuracy, helping analysts focus on what matters most.

This guide explains SOC automation, how it works, why it matters, and why it’s now an essential part of every cybersecurity strategy.

What Is a SOC, Exactly?

A SOC (pronounced “sock”) is the part of a business that is responsible for managing and mitigating security threats. 

A SOC is made up of the people and tools that handle:

• Threat intelligence: Gathering data about emerging threats, vulnerabilities, and attack patterns that could impact the organization.
• Monitoring and alerting: Continuously scanning systems for signs of malicious activity to detect risks and trigger alerts in real time.
• Analysis: Investigating detected threats to uncover their root cause and assess their potential impact.
• Response: Executing containment, mitigation, and remediation strategies to neutralize active threats.
• Recovery: Restoring affected systems and services to a secure, operational state after an incident.
• Reporting: Reviewing the incident to understand what happened, why it occurred, and how to prevent it from recurring.

A SOC doesn’t have to be a physical room — it’s an operational function. Whether your team is remote or in-house, if they handle the tasks above, you’ve got a SOC. But traditional SOCs are drowning in alerts and overrun with manual processes. That’s where automation comes in.

What Is Security Operations Automation?

SOC automation replaces manual security tasks with technology-driven workflows. 

Instead of relying solely on human analysts, SOC automation tools handle tasks like: 

• Parsing and prioritizing threat intel
• Detecting anomalies in real time
• Running initial triage and investigations
• Automating incident response playbooks
• Generating compliance and incident reports

At its core, security operations automation is the process of using AI and automated workflows to streamline and accelerate SOC tasks. Instead of analysts manually reviewing every alert or running every investigation step, SOC automation tools handle routine tasks automatically — from alert triage to threat containment — freeing human analysts to focus on strategic, high-value work.

An automated SOC integrates all the moving parts of your security ecosystem — SIEM, EDR, IAM, CSPM, and more — into a unified, intelligent system that detects, investigates, and remediates threats with minimal human intervention. This allows security teams to act faster, reduce their workload, and free up time for strategic, higher-value activities.

How Automation Transforms the SOC

In a traditional SOC, analysts juggle endless alerts from disconnected tools. Each alert requires manual correlation, validation, and response — a process that’s slow, error-prone, and unsustainable at scale. SOC automation replaces that manual grind with automated workflows and AI-driven orchestration. 

Here’s how SOC automation works:

• Data ingestion and normalization: Automation platforms continuously pull data from every tool — SIEMs, firewalls, EDR, and cloud platforms — and normalize it into a single, unified view.
• Alert triage: Automated playbooks instantly sort, classify, and prioritize alerts based on severity, risk level, and context.
• Data enrichment: AI and threat intelligence integrations add context (such as IP reputation, geolocation, and behavioral data) so analysts see the full picture.
• Incident response: Predefined workflows automatically execute containment steps, like isolating endpoints or blocking malicious IPs, in real time.
• Reporting and documentation: Every action is logged and reported automatically, ensuring accuracy and compliance without manual effort.

Isn’t Every SOC Already Automated?

Sort of. Most SOCs today use basic automation — for example, tools that scan logs or monitor systems for anomalies. But complex, context-rich actions like investigation and response are still mostly manual.

SOC automation takes things further, bringing intelligence and orchestration to processes that traditionally required human action and judgment. This is especially true when using tools like Torq HyperSOC™, which leverages agentic AI to drive autonomous SOC operations.

Why SOC Automation is Critical Now

Cybersecurity teams are being asked to do more with less. That’s why automated SOC platforms are becoming a must-have for modern security to deal with:

• Alert overload. Analysts receive thousands of daily alerts, most of which are noise, which can lead to SOC alert fatigue.
• Manual investigation is too slow. Threat actors can move laterally within minutes.
• Staffing shortages. The cybersecurity talent gap continues to widen, with a global shortage of 4 million cybersecurity professionals. 
• Cloud complexity is growing. Hybrid, multi-cloud, and SaaS environments require faster, scalable SecOps.

Compliance pressure is increasing. Automation helps meet standards like NIST, ISO, SOC 2, and GDPR with less overhead.

12 SOC Automation Use Cases

1. Identity and Access Management (IAM): SOC automation streamlines IAM by automating user lifecycle tasks, access approvals, and credential management. This reduces manual errors, prevents unauthorized access, and simplifies compliance.
2. Threat Hunting: Automated threat hunting continuously scans for suspicious activity, enriches alerts with context, and accelerates investigations, helping teams proactively detect and respond to threats faster.
3. Cloud Security Posture Management (CSPM): SOC automation monitors multi-cloud environments for misconfigurations and policy drift, triggering remediation workflows to maintain consistent security and compliance.
4. Email Security: An automated SOC can detect and respond to phishing and malware threats by correlating data across email and endpoint systems, removing malicious messages, and adjusting protections in real time.
5. Chatbots: Self-service chatbots handle routine IT and security tasks, like password resets and access revocations, directly in messaging platforms, reducing SOC workload and improving user response time.
6. Incident Response: Accelerates incident response by automatically triaging alerts, containing threats, executing remediation steps, and notifying stakeholders, all while preserving evidence and logging actions.
7. Application Security: Integrates with integration and delivery pipelines to automate vulnerability detection and response, enabling secure development without slowing down releases or requiring manual review.
8. Phishing Response: SOC automation can help with phishing detection, email and attachment analysis, and user account protection.
9. Continuous Vulnerability Management: With automation, SOCs can scan, prioritize, and remediate vulnerabilities using contextual insights, enabling teams to quickly resolve issues without needing to sift through raw data.
10. Threat Intelligence Enrichment: Automation enriches raw threat data with external context, like geolocation, known malware links, or infrastructure details, to enhance detection accuracy and inform response decisions.
11. Suspicious User Activity Response: Automatically detect and instantly respond to risky user behavior instantly by alerting users to verify their actions or locking accounts if malicious activity is confirmed.
12. Secure Access to Sensitive Data: SOCs can automate access controls, enforce authentication policies, and monitor for anomalies, ensuring only authorized users access specific systems and data.

The Benefits of SOC Automation

SOC automation delivers measurable benefits that extend far beyond efficiency. It improves detection, reduces burnout, and creates a repeatable, reliable foundation for continuous improvement.

• Enhanced threat detection and response: Automated SOC workflows correlate data across sources, identify real-time anomalies, and execute responses immediately. This shortens the mean time to detect (MTTD) and mean time to respond (MTTR), minimizing attacker dwell time.
• Reduced analyst fatigue and burnout: Automation filters noise and handles repetitive triage, freeing analysts from alert fatigue. Teams can focus on more engaging work like proactive defense and threat hunting, improving morale and retention.
• Improved scalability and cost efficiency: With automation, SOCs can process thousands of security alerts without increasing headcount. Teams achieve greater coverage with fewer resources, optimizing ROI and operational cost.
• Consistent security responses: Standardized, automated playbooks ensure every alert or incident receives a consistent, policy-aligned response. This eliminates guesswork, reduces error rates, and supports compliance efforts.

How Torq Revolutionizes SOC Automation

Torq HyperSOC™ is the first agentic, AI-powered SOC automation platform built to transform your SecOps from reactive to truly autonomous. That means the majority of threats are detected, triaged, investigated, and remediated without human intervention — no bottlenecks, no burnout, no babysitting. Only the most critical events are escalated to human analysts, alongside full case context so they can get up to speed quickly.

So, how does it work? 

• Integrates with everything: From SIEMs to EDRs, CSPMs to IAM, SaaS apps to custom tools — Torq connects your entire security stack instantly. 
• AI Agents: At the core of HyperSOC is Socrates, our AI SOC Analyst. It coordinates a squad of specialized AI Agents that handle everything from threat detection to response.
• Natural language human-AI collaboration: Build and trigger powerful automations using plain English commands. Just tell Torq what you want, and it gets done.
• Automate at scale: Whether you’re securing cloud, hybrid, or on-prem environments, Torq can run thousands of workflows simultaneously, automatically scaling to match your environment and threat landscape.
• Customize: Torq’s open architecture and rich API make it easy to tailor automations to your exact needs.

12 Ways Torq Delivers Next-Level SOC Automation

1. Identity Access and Management

With Torq, security teams can automate the entire IAM lifecycle, from access approvals and permission adjustments to proactive policy enforcement and investigations of suspicious activity. Self-service chatbots let users resolve access issues in seconds. AI-driven workflows ensure only the right people have the proper access at the right time.

2. Threat Hunting 

Torq’s AI-powered threat hunting automation scans massive datasets, correlates anomalies, and surfaces real threats fast. GPT-backed agents enrich alerts with context, cut through noise, and help analysts uncover hidden indicators of compromise (IOCs) across fragmented stacks. 

3. Cloud Security Posture Management

Torq continuously scans for cloud misconfigurations, policy drift, and compliance gaps, then auto-remediates before they become problems. Integrated with AWS, Azure, GCP, and Kubernetes, Torq enforces policies, rolls back unauthorized changes, and triggers response workflows across teams and tools.

4. Email Security

Email is the #1 attack vector. Torq automates email phishing detection, triages alerts, removes malicious emails post-delivery, and hardens security controls on the fly. It connects with SEGs, EDR, and threat intel to shut down campaigns before they spread. 

5. Chatbots

Torq’s always-on self-service chatbots bring intelligent support directly into tools like Slack, Microsoft Teams, and Discord. These chatbots let users report phishing, reset passwords, revoke access, or run malware scans instantly. They notify users about threats, deliver trainings, and keep everyone engaged.

6. Incident Response

Enabling always-on, automated threat containment and remediation that slashes response time and minimizes risk without burning out your SOC team, Torq uses generative AI to intelligently triage alerts by severity and potential impact, ensuring high-priority threats are addressed first. 

Once detected, Torq immediately executes containment procedures, such as isolating systems or blocking malicious IP addresses, followed by automated remediation steps, including patching, firewall updates, and malware removal. It alerts all relevant stakeholders in real-time, updating threat intelligence feeds with new IoCs. It preserves key evidence for investigations, all while maintaining a detailed, auditable log of every action.

7. Application Security

Torq embeds automation into the CI/CD pipeline to detect and fix issues in code, containers, and APIs before they reach production. It connects to SAST, DAST, RASP, WAFs, and more to auto-prioritize vulnerabilities and trigger remediations — without bogging down devs. 

8. Phishing Response

Torq handles phishing from inbox to endpoint. Our platform orchestrates across SEGs, EDR, CASBs, IAM, and chatbots to detect, isolate, and respond to phishing campaigns. Users can report suspicious emails via chatbot, triggering instant investigations, credential resets, and threat removal automatically.

9. Continuous Vulnerability Management

Torq turns vulnerability management into a zero-touch, closed-loop system. It orchestrates scans, prioritizes based on real risk, and kicks off remediations — all autonomously. Agentic AI ensures critical issues get fixed fast, tracks SLAs, and handles compliance reporting without constant analyst babysitting.

10. Threat Intelligence Enrichment

Torq enhances threat intelligence by integrating with threat intelligence feeds and security tools to automatically enrich alerts with relevant context. It reduces false positives, accelerates investigations, and empowers SOC teams to act with precision, launching cross-platform searches, syncing with case management, and eliminating manual work.

11. Suspicious User Activity Response

Let Socrates, Torq’s AI Omniagent, take cases involving suspicious user behavior. Whether it’s failed MFA attempts or impossible travel logins, Socrates analyzes the full context, enriches identities, escalates when needed, and even reaches out to users via Slack. Analysts can guide the process or let Socrates handle it entirely. Socrates logs every action so no detail is missed.

12. Secure Access to Sensitive Data

By integrating with IAM and ticketing tools, Torq validates access requests based on role, location, time, and context. It approves or escalates access, logs the session, revokes it when done, and creates compliance-ready audit trails.

The Torq SOC Automation Advantage

Today’s security teams are overwhelmed by alerts, battling increasingly sophisticated threats, and struggling to scale with limited personnel. The only way to stay ahead is to move faster, work smarter, and offload everything that doesn’t require human creativity or judgment. 

Torq enables you to:

• Detect and respond to threats instantly with AI-driven automation
• Reduce analyst burnout through intelligent alert triage and enrichment
• Scale SOC operations efficiently across global, multi-cloud environments
• Maintain full visibility and compliance with automated audit logs

That’s the power of SOC automation. And with platforms like Torq HyperSOC™, it’s not just about doing more with less; it’s about transforming your entire SOC into an autonomous, AI-orchestrated powerhouse. 

Your adversaries are using automation. Now it’s your turn to fight smarter.

Kill your SOAR with Torq.

FAQs

Modern enterprises face an increasingly complex and dynamic digital environment, making effective attack surface management (ASM) more critical than ever. The sprawling nature of digital assets, rapid cloud adoption, and evolving threat landscape mean new vulnerabilities and exposures continually emerge. Manual processes and legacy tools can’t keep pace, leaving security teams struggling to track and address threats proactively.

Torq Hyperautomation™ transforms attack surface management by continuously detecting, contextualizing, and remediating threats, ensuring your organization remains ahead of adversaries.

What is Attack Surface Management (ASM)?

An attack surface refers to all the potential entry points (physical, digital, and human) an attacker can exploit to gain access to an organization’s system or data. The larger the attack surface, the higher the exposure to threats.

An effective ASM program includes:

• Continuous discovery of exposed assets: ASM tools scan all environments for internet-facing and internal assets — cloud services, domains, APIs, SaaS platforms, shadow IT, and forgotten infrastructure — and make persistent discoveries to account for dynamic infrastructure changes, workloads, and rapid application development cycles.
• Monitoring for vulnerabilities and misconfigurations: Vulnerability management is fundamental to attack surface management. Once assets are discovered, ASM monitors them for known vulnerabilities, insecure configurations, unpatched systems, open ports, and any anomalies that could be exploited. It acts as an early warning system that catches issues before attackers do.
• Prioritization of risks: Not all exposures carry equal weight. ASM contextualizes alerts with business relevance, threat intelligence, and asset sensitivity to help security teams focus on what matters most. This triage process ensures critical issues are addressed quickly, while noise is minimized.
• Streamlined response: Effective ASM initiates action. By integrating with ticketing systems, IAM tools, cloud consoles, and security automation platforms like Torq, ASM can automatically remediate issues or trigger workflows for immediate response, improving speed and efficiency.

Challenges of Traditional Attack Surface Management 

Several challenges complicate traditional ASM approaches:

• Shadow IT and SaaS sprawl: Rapid SaaS adoption and shadow IT create blind spots, leaving assets untracked and unmanaged.
• Ephemeral cloud infrastructure: Cloud environments constantly evolve, creating fleeting assets that legacy ASM tools struggle to monitor effectively.
• Legacy tools miss context: Traditional tools lack the context to prioritize threats effectively, causing delays and inefficiencies.
• Alert overload stalls response: High volumes of security alerts overwhelm analysts, leading to alert fatigue and slower incident responses.

3 Keys to Effective ASM

Attack surfaces are dynamic, growing, and constantly shifting. Manual methods can’t keep up. That’s why modern ASM must be:

1. Automated: Detect and respond without relying on human intervention.
2. Continuous: Monitor in real time, not just during scheduled audits.
3. Integrated: Feed into your broader security operations stack for full context and control.

This is exactly where security Hyperautomation can help. Torq Hyperautomation transforms ASM from a slow, manual, and reactive task into a real-time, intelligent, and scalable security practice by automating every step, from asset discovery to remediation. With Torq, security teams gain continuous visibility, instant context, and automated action across the entire attack surface — external, internal, and everything in between.

How Automated Attack Surface Management Works

Traditional attack surface management tools often stop at discovery. Torq’s Hyperautomation platform goes several steps further, turning visibility into action and action into measurable impact. It’s not just about knowing your risks; it’s about resolving them automatically, intelligently, and at scale. Here’s how it works.

Asset Discovery

Torq continuously ingests data from across your infrastructure: cloud environments (AWS, Azure, GCP), SaaS platforms (Okta, GitHub), asset inventories, and external ASM tools like SentinelOne, Rapid7, or Qualys. Whether it’s a cloud workload, a shadow IT application, or an unmanaged endpoint, Torq ensures it’s identified and accounted for. The platform dynamically updates its asset map as your environment evolves, providing complete, real-time visibility across internal and external attack surfaces.

Exposure Monitoring

Once assets are discovered, Torq automatically monitors them for known vulnerabilities, insecure configurations, open ports, identity exposures, and other signs of risk. These checks run continuously — not periodically — ensuring that risks are detected as soon as they appear. Torq’s integration with leading vulnerability scanners, CSPM tools, and threat intelligence feeds enables rich, multidimensional analysis of exposures from both inside and outside the perimeter.

Contextual Alerting

Torq enhances every alert with contextual data that matters, like asset ownership, criticality, geographic location, user identity, and recent activity. This enrichment turns raw alerts into actionable intelligence. Instead of treating all alerts equally, Torq prioritizes them based on business risk, reducing alert fatigue and surfacing what truly needs attention. Analysts don’t just receive more information; they get the right information at the right time.

Automated Remediation

Once a threat is confirmed, Torq automatically executes response playbooks tailored to the incident type, asset profile, and organizational policy. These playbooks can:

• Disable vulnerable cloud resources
• Revoke compromised credentials
• Trigger ticketing workflows in Jira or ServiceNow
• Notify the responsible owners or escalate to human analysts
• Re-run validation checks to confirm resolution

Every action is logged, auditable, and fully customizable, enabling high-assurance, closed-loop remediation with minimal manual intervention. 

6 Benefits of Hyperautomated Attack Surface Management 

Real-Time Visibility Across All Environments

Modern attack surfaces span hybrid clouds, SaaS tools, endpoints, and shadow infrastructure. Torq’s continuously scans your internal and external environment, providing a live, unified view of all known and unknown assets. This real-time visibility eliminates blind spots and ensures security teams can track changes the moment they occur, not days or weeks later. Enhanced visibility supports ongoing risk assessment efforts, allowing teams to prioritize vulnerabilities effectively.

Reduced Risk from Shadow IT and Misconfigurations

Unmanaged SaaS applications, orphaned cloud resources, and misconfigured systems are some of the riskiest parts of any attack surface. Torq’s ASM automations immediately flag these issues, correlate them with business context (e.g., owner, function, sensitivity), and kick off appropriate remediation workflows. 

Fewer False Positives Thanks to Contextual Intelligence

False positives waste time, drain resources, and increase the likelihood of real threats slipping through. Torq solves this by enriching alerts with contextual data, such as asset criticality, historical behavior, identity attributes, and network topology. Analysts are presented with actionable intelligence instead of raw signals, reducing noise and sharpening focus on what matters most.

Dramatically Shorter Time to Detect and Respond

Automated ASM eliminates the latency of human-driven detection and triage. As soon as a vulnerability or suspicious exposure is detected, Torq initiates real-time enrichment and response. Whether isolating a misconfigured asset or revoking exposed credentials, remediation begins instantly, cutting Mean Time to Detect (MTTD) and Mean Time to Respond (MTTR) by orders of magnitude.

Always-On Security Posture, Not Periodic Snapshots

Traditional ASM approaches rely on point-in-time scans that become outdated almost immediately. Torq replaces these snapshots with always-on automation, constantly monitoring your infrastructure, scanning for exposure, and triggering responses as needed. This 24/7 posture ensures your security surface evolves at the speed of your business.

Closed Loop from Detection to Resolution

Most ASM tools identify problems but leave resolution to manual processes. Torq completes the loop with intelligent, automated workflows that take action on validated exposures, revoking access, shutting down vulnerable services, notifying asset owners, and logging everything for audit and compliance. This full-cycle automation ensures exposures are resolved, verified, and documented.

Attack Surface Management Implementation: 4 Best Practices

1. Maintain continuous asset inventories: A complete, real-time view of your digital environment is foundational to effective ASM. Conduct continuous asset discovery and inventory updates to track new devices, applications, APIs, cloud resources, and shadow IT. This ensures your security team has an accurate understanding of all external-facing assets and can quickly spot unmanaged or vulnerable components before attackers do.

2. Integrate ASM with security stack: ASM should not operate in isolation. Connect it with your SIEM, vulnerability management, endpoint detection, and identity platforms to enable correlation and enriched context. This integration eliminates blind spots, improves visibility across environments, and empowers security teams to act on threats with unified intelligence.

3. Establish a strong vulnerability management process: Define formal, documented policies for identifying, prioritizing, and remediating vulnerabilities uncovered by ASM. Ensure roles, SLAs, and escalation paths are clearly defined. Integrate vulnerability data with your incident response workflows to speed up resolution and ensure no exposure goes unaddressed.

4. Automate notifications and remediation workflows: Reduce time-to-response and human error by implementing automated alerting and response playbooks. Use workflow automation to route findings to the right teams, trigger patching or access revocation, and track resolution status. Automation accelerates containment, improves coordination, and transforms ASM into a proactive defense layer.

How Torq Hyperautomation Powers End-to-End Attack Surface Management

Torq Hyperautomation integrates seamlessly into your security workflows:

• Connects with external ASM tools (like Palo Alto, Crowdstrike, Microsoft) and internal asset inventories
• Ingests and enriches alerts with detailed contextual data (identity, geography, asset ownership)l
• Triggers automated playbooks for immediate remediation, revocation, alerting, or escalation
• Reduces MTTR by integrating seamlessly with ticketing systems (Jira, ServiceNow), IAM solutions, and cloud providers
• Continuously monitors post-remediation to confirm full resolution

Case Study: How Deepwatch Scaled Global Attack Surface Coverage with Torq Hyperautomation

For managed detection and response (MDR) providers like Deepwatch, delivering high-fidelity protection across a sprawling customer base means managing hundreds (if not thousands) of constantly shifting attack surfaces. But legacy SOAR platforms simply couldn’t scale with the speed, precision, or flexibility needed to keep up.

By adopting Torq Hyperautomation, Deepwatch transformed its security operations and delivered real-time visibility and response capabilities across global customer environments. The result: Over 90% automation of Tier 1 and Tier 2 alerts, faster onboarding for new clients, and dramatic reductions in both mean time to respond (MTTR) and operational overhead. “We’ve come from legacy SOAR to Hyperautomation, and what we’ve been able to build — the environment we now give to our analysts — I don’t think would have ever been achievable with legacy SOAR,” says Micah Donald, Sr. Director of Solutions Engineering, Deepwatch.

With Torq, Deepwatch automated the detection and remediation of exposed assets and vulnerabilities across internal and external attack surfaces without relying on slow manual scripting or disconnected tools. Torq’s low-code/no-code platform enabled Deepwatch analysts to build powerful workflows on the fly, integrate seamlessly with cloud infrastructure, and deliver precision response at scale.

From cloud complexity to shadow IT to ever-evolving customer demands, Deepwatch’s attack surface challenges mirror those of most enterprises today. Their success proves what’s possible when attack surface management is not just monitored but Hyperautomated.

“Torq helps customers get the biggest bang for their security buck, maximizing the value of their existing security investments.”.

– Micah Donald, Sr. Director of Solutions Engineering, Deepwatch

Real Security Use Cases Powered by ASM Automation

Attack surface management isn’t a standalone task — it’s the foundation that powers broader security operations. With Torq Hyperautomation, ASM becomes the connective tissue for dozens of high-impact use cases across your SOC.

Identity and access management (IAM): Torq cross-references exposed assets with identity data from Okta, Azure AD, or HRIS systems. When orphaned accounts or overprivileged identities are discovered on exposed systems, Torq can automatically revoke access, enforce MFA, or trigger re-verification workflows without analyst intervention.

Cloud security posture management (CSPM): Combine CSPM tools like Wiz or Prisma Cloud with Torq’s Hyperautomation to turn misconfiguration alerts into real-time action. Whether it’s shutting down an open S3 bucket, quarantining an untagged instance, or enforcing encryption standards, Torq ensures posture risks are remediated, not just reported.

Threat intelligence operationalization: Torq integrates with threat intel platforms to correlate known IOCs (e.g., IPs, domains, malware hashes) with your asset inventory. If a match is found, Torq can isolate the asset, create a high-priority case, and initiate a full threat hunting workflow.

Email and endpoint security: Attack surface blind spots often include email systems and endpoints. Torq bridges the gap by integrating with email security tools (like Proofpoint and Microsoft Defender) and EDRs (like CrowdStrike and SentinelOne). ASM alerts tied to phishing or endpoint anomalies can trigger dynamic playbooks for containment, notification, and root cause analysis.

Compliance and audit automation: Torq’s action across your ASM program is fully logged and auditable. You can automatically generate compliance artifacts showing asset inventory, exposure history, response timelines, and post-remediation validation, streamlining audits for security frameworks like NIST, ISO, or SOC 2.

Hyperautomate Your Attack Surface Management with Torq

Your organization’s attack surface evolves continuously. ASM tools help you discover new vulnerabilities, but Torq empowers you to automatically respond and remediate, significantly shrinking your risk. With Torq, your ASM strategy is always-on, automated, and agile.

Don’t wait to react. Don’t accept blind spots.

FAQs

The modern threat landscape doesn’t scale down just because your team is lean. Whether you’re a two-person SecOps crew or a full-blown SOC, attackers don’t discriminate — and the alerts don’t stop.

Small security teams face the same phishing, ransomware, and insider threats as the world’s largest enterprises — only with fewer hands on deck and less time to respond.

To level the playing field, teams are turning to SecOps automation. With the right platform, automated SecOps lets lean teams move like fully-resourced ones — cutting through alert noise, accelerating response, and running workflows autonomously.

Traditional SecOps Is Broken

Most security teams today are running on fumes. Threats are increasing, tools are multiplying, and analysts are stuck in an endless loop of triage and tuning as they face:

• Too many alerts, not enough analysts: Security teams are drowning in noise. With limited headcount, it’s impossible to investigate everything, causing critical alerts to go unnoticed.
• Poor tool integration: 51% of security leaders say their tools don’t integrate well, creating silos, manual handoffs, and slower response times.
• Busywork over threat work: 46% of teams spend more time configuring and troubleshooting tools than mitigating threats. Another 59% say maintaining tools is the #1 inefficiency in their SOC.

It’s not sustainable — especially for lean teams.

Why Lean Teams Need SecOps Automation

Lean security teams are under pressure to deliver big results — without the benefit of big budgets, big headcount, or big enterprise infrastructure. They face the same volume of threats, alerts, and compliance requirements as a Fortune 500 but with a fraction of the resources.

SecOps automation bridges this resource gap. Deterministic automation workflows are ideal for the most common, repetitive, or predictable tasks, while non-deterministic workflows — augmented by agentic AI — enable understaffed SOC teams to handle more complex, multi-step security use cases more quickly and move towards an autonomous SOC. 

SecOps automation significantly reduces manual overhead, accelerates threat response times, and empowers lean teams to run high-performance SOCs without the traditional overhead.  

Five Ways Automated SecOps Helps Level the Playing Field

1.  Phishing

Phishing is the most common form of cybercrime, with an estimated 3.4 billion spam emails sent daily. Each suspicious email requires triage, enrichment, investigation, and user outreach. Multiply that by dozens (or hundreds) of alerts a day, and you’re looking at full-blown burnout.

Automated SecOps turns phishing response into a self-contained workflow. From inbox monitoring and URL detonation to IOC lookups and automated takedowns, the entire lifecycle can be handled in minutes — not hours — without ever touching the analyst queue.

2. Threat Intelligence Enrichment

Threat intel is only useful if it’s fast, contextual, and operationalized — three things that don’t happen when analysts are manually switching between threat feeds and enrichment tools.

With SecOps automation, threat enrichment happens automatically. As alerts are ingested, automation pulls relevant context from multiple intel sources, correlates them with local data, and attaches insights to each case. That gives analysts a complete picture from the start.

3. Incident Response

Manual incident response is slow, error-prone, and hard to scale, especially with limited staff. Analysts have to piece together clues from multiple systems, coordinate handoffs, and manually document every action. For lean teams, it’s a recipe for delays and missed steps.

Automated incident response changes the game. As soon as an incident is detected, workflows kick off to contain the threat, collect forensics, notify stakeholders, and even auto-resolve based on pre-approved playbooks. With agentic AI in the loop, you can even triage, investigate, and remediate without any human intervention.

4. Vulnerability Management (VM)

Prioritizing which vulnerabilities matter is half the battle. But manually scanning assets, matching vulnerabilities to context, and assigning follow-up tasks can take days — assuming it gets done at all.

Automated SecOps streamlines the entire VM lifecycle. It ingests scanner output, correlates it with asset data, flags exploitable vulnerabilities, and initiates remediation workflows based on risk level — all without human touch. Analysts get real-time visibility into what’s fixed, what’s pending, and what’s critical.

5. Identity and Access Management (IAM)

Access creep and reused credentials are an open door for attackers — but they’re often overlooked because IAM tasks are tedious and time-consuming.

With automation, IAM becomes hands-free. Just-in-time access, automatic revocation, and periodic audits all run behind the scenes. You can even automate a response to suspicious activity, like impossible travel or privilege escalation, before an attacker has time to act.

SecOps Automation = Big Results for Lean Teams

Built for all skill levels: Low-code and no-code automation platforms have lowered the barrier to entry for security teams, making it easier for them to implement and manage security solutions. Analysts can build and deploy workflows without needing to write a single line of code, while more technical users can dig into scripting and APIs when needed. This flexibility empowers teams to move faster and focus on strategy instead of syntax.

Faster time to value with pre-built workflows: Many SecOps automation platforms offer prebuilt workflows for common use cases like phishing response and alert triage. These templates help teams launch fast, then iterate and customize for their environment.

Unified dashboards and reporting: Effective SecOps automation isn’t just about doing more — it’s about seeing more. Automation platforms often include built-in dashboards, visual workflow builders, and custom reporting tools that make it easier to track performance, prove value, and drive continuous improvement.

More use case coverage: Automation isn’t limited to incident response. Mature SecOps teams extend it to vulnerability management, insider threat detection, access controls, compliance audits, and even IT workflows like onboarding or offboarding. The more you automate, the more time your team has for strategic work.

Fully integrated AI access: It’s no secret that AI is the big hot ticket item in the cybersecurity industry. However, most organizations are diligently evaluating and carefully choosing when and where to deploy AI in their security stack — and rightfully so. 

Whether you are slow-rolling AI access due to budget constraints or still building a business case to demonstrate the value of AI in the SOC to upper management, a SecOps automation platform provides a unique, centralized hub that fully integrates with every security solution, ensuring consistent and controlled AI access across your entire security environment.    

Torq: The Leading Platform for SecOps Automation

Torq HyperSOC™ is the agentic AI-driven platform explicitly designed to empower lean security teams with extensive SecOps automation capabilities. Torq delivers:

• Multi-Agent AI: Torq’s Socrates orchestrates automated workflows across specialized AI agents, seamlessly handling phishing triage, malware containment, IAM hygiene, and more.
• Natural language workflows: No-code and low-code interfaces allow teams to launch and modify workflows simply by describing their intent, significantly accelerating adoption and effectiveness.
• Rapid integration: Instant, seamless integrations across the entire security ecosystem eliminate silos, ensuring workflows operate fluidly across tools like AWS, Azure, Okta, SentinelOne, and many more.
• Autonomous response: From detection to containment and remediation, Torq autonomously manages threats, dramatically reducing response times and enabling analysts to focus on high-impact tasks.

Named a 2025 GigaOm SecOps Automation Radar Leader and Fast Mover, Torq is proving what real SOC automation looks like.

What SecOps Automation Looks Like

Torq customers consistently report transformative impacts from automating SecOps.

Check Point

Check Point’s SOC faced a crushing alert load and a 30–40% manpower gap, until Torq HyperSOC™ came into the picture. Within days, Torq deployed over two dozen AI-driven playbooks that automated repetitive tasks, reduced alert fatigue, and enabled autonomous remediation for low-level threats. Now, analysts are empowered to focus on what matters, with NLP-powered case insights helping them make faster, smarter decisions.

Global Retailer

This global fast-fashion giant replaced its legacy SOAR with Torq Hyperautomation™ to streamline security operations, cut alert fatigue, and simplify complex workflows across international teams. By automating end-user requests, case management, and just-in-time access, they reduced ticket resolution from days to minutes and saved a week of time per request.

Lennar

Lennar’s SOC team replaced XSOAR with Torq to eliminate manual phishing remediation that used to take hours and is now resolved in minutes. With no-code and AI-powered workflow building, analysts of all skill levels can build automations and refocus on proactive threat hunting. Torq’s flexibility and speed also helped streamline asset management, cutting hours of work down to just minutes.