Most case management systems weren’t built for modern security operations. They were built for tickets. Legacy tools and add-on automations force analysts to swivel between dashboards, copy-paste IOCs, and manually escalate alerts that lack context. That model collapses fast in today’s SOC, where tens of thousands of alerts hit daily.

Torq built something different. Torq’s Enterprise Case Management is an AI-native system that unifies triage, investigation, enrichment, and response into a single, intelligent lifecycle. 

The Case Management Problem No One Talks About

Traditional case management platforms assume analysts will do the heavy lifting — gathering evidence, correlating alerts, updating tickets, and escalating manually. This is inconvenient at a small scale but unsustainable at an enterprise scale.

Large SOCs need a system that:

• Keeps up with tens of thousands of alerts daily
• Maintains accuracy and context across complex hybrid environments
• Adapts dynamically as threats and priorities change
  

Torq HyperSOC™’s advanced case management is proven to do exactly that. 

How Torq Enterprise Case Management Works

Every case in Torq is a data object that represents the full lifecycle of an incident, from detection through remediation and closure. When an event is ingested — from a SIEM, XDR, or any of Torq’s 300+ integrations — the system determines if it is in fact an incident, and if so, automatically generates a case entity composed of five interlinked components:

1. Metadata and taxonomy: Each case is assigned a structured schema (type, source, severity, MITRE ATT&CK mapping, SLA) derived from detection logic or workflow input. This ensures every case adheres to organizational taxonomies and compliance standards.
2. Observables graph: Torq automatically parses and normalizes raw event data — IPs, hashes, usernames, domains, devices, and artifacts — into graph-linked observables. These relationships are stored natively, allowing queries like “show all cases with the same hash seen in the last 7 days” or “find devices accessed by this user post-compromise.”
3. Dynamic enrichment pipeline: When a case is created, Torq launches parallel enrichment jobs using connected sources — EDR telemetry, threat intelligence feeds, IAM data, CMDBs, and more. Each enrichment step posts results directly into the case record, tagged and timestamped, creating a verifiable context chain.
4. AI triage and prioritization: Socrates, Torq’s AI SOC Analyst, analyzes all observables and enrichment results to determine confidence, severity, and next steps. Using reinforcement learning from resolved cases, Socrates scores each case based on the likelihood of a true positive, business impact, and threat propagation risk. Low-confidence cases can be auto-closed or merged; high-confidence cases are escalated with full context attached.
5. Execution: Torq connects directly to the organization’s security stack (EDR, IAM, firewall, CSPM, ITSM, and messaging). Analysts can trigger risk-gated actions directly from within the case without context switching or manual scripts. These actions are governed by deterministic rulesets (“approval gates”) and recorded immutably in the case timeline.
   

Example Case Lifecycle in Torq

 A Hyperautomation workflow triggers Torq’s custom AI Agents to triage the event and enrich the data with third-party threat intelligence, blending deterministic event-driven workflows with agentic reasoning and execution.

The Tier-1 Agent functions as a security analyst responsible for creating, formatting, and compiling a comprehensive security case — all while keeping the security team updated via Slack/Teams integrations.

Torq HyperSOC uses agentic reasoning to prioritize the most critical cases and summarizes each case with relevant information.

Based on the case classification, one-click quick action buttons are added that trigger Hyperautomation workflows for the most common containment and response actions. Higher-impact actions can optionally require human authorization, blending machine-speed response with human oversight.

In over 90% of cases, Socrates — the AI SOC Analyst — has the tools necessary to remediate the case autonomously, following the steps laid out in the appropriate remediation runbook. Every AI action is thoroughly documented, with immutable execution logs and transparent decision-making processes.

Once the incident is contained and the risk is remediated, the case is closed, and an AI-generated resolution note is added. If necessary, the case will be assigned to a human analyst for any further action — such as following up with a user whose account was locked, or assigning additional security awareness training.

What Makes Torq Case Management Different

Architecture-Level Advantages

• Event-driven: Built on an asynchronous, distributed event system that handles millions of concurrent actions with zero blocking.
• Schema-agnostic: Accepts unstructured JSON payloads and normalizes them into a consistent internal data model for cross-tool correlation.
• API-first design: Every case, enrichment, and action is addressable via REST and GraphQL APIs for seamless integration with custom tooling.
• Immutable state engine: Every field modification is versioned; every state change is logged — ensuring compliance, auditability, and forensic traceability.
• Elastic scalability: Dynamic worker scaling enables horizontal growth across clusters without downtime, supporting multi-region, multi-tenant SOCs.

AI + Deterministic Reliability

Torq blends agentic AI with deterministic control, ensuring automation remains explainable and compliant.

• LLM-based reasoning for analysis and enrichment
• Deterministic “approval gates” for containment or deletion actions
• Immutable logs of every AI recommendation, human correction, and execution
• Continuous learning from resolved cases to refine triage logic
  

This combination delivers both speed and trust, balancing AI autonomy with human oversight — a key reason enterprises choose Torq over less mature “workflow emulators.”

Hyperautomation

Torq unifies detection, enrichment, workflow, and audit into a single case lifecycle. Unlike platforms that bolt ticketing onto automations, Torq’s cases are the automation — dynamically updating with every new event, IOC, and workflow execution.

• Auto-populates with threat, asset, and user context
• Logs every enrichment, containment, and analyst action
• Enables one-click actions (isolate, revoke, block) from within the case
• Generates immutable audit trails and timeline visualizations
  

Real-Time Collaboration

Torq’s enterprise case management syncs context, chat, and action in one workspace — automatically updating as workflows execute.

• Live “war rooms” that connect SOC, IT, and compliance teams
• Real-time updates on findings, analyst notes, and playbook actions
• Integrations with Slack, Teams, and ServiceNow for seamless handoffs
• Cross-functional collaboration for HR, Help Desk, or BI teams — without requiring platform logins
  

Built for MSSPs and Global Enterprises

Torq’s multi-tenant case management enables managed security service providers and large organizations to scale horizontally, managing hundreds of customers or internal business units through a unified platform.

• Templates and reusable workflows accelerate onboarding
• Shared automations across tenants while keeping data fully isolated
• Unified analyst queue that spans customers, with precise access controls
• Faster SLAs, consistent reporting, and stronger margins for MSSPs
  

Case Management for the SOC of Tomorrow

Case management is no longer about tracking what happened but orchestrating what happens next. Torq HyperSOC™ transforms every case into a living, automated workflow that connects people, processes, and AI in real time.

And industry validation backs it up: The 2025 GigaOm SecOps Automation Radar Report named Torq a Leader and Fast Mover for execution-based automation, giving Torq Enterprise Case Management a top score in this area.

The real horror story is happening inside SOCs every single day. Analysts are buried alive under endless alerts. Silent screams when critical threats slip through. Empty chairs as burnout claims another teammate.

Here are the five nightmares every SOC analyst knows too well — and how Torq HyperSOC™ turns them from never-ending sequels into closed cases.

Nightmare 1: Buried Alive (Alert Fatigue & Data Dumping)

The Nightmare: A SOC analyst stares into the endless abyss of dashboards: 3,000+ alerts a day across 28+ tools. No matter how many they close, more keep spawning. There’s no time to separate real threats from the noise. 

That’s why 42% of SOCs admit they shove everything into a SIEM without a plan to analyze or retrieve it. It’s like digging your own grave in data, one ticket at a time.

The Wake-Up Call with Torq HyperSOC™: 

• Torq automatically enriches raw alerts with context such as asset data, identity information, and threat intelligence, so analysts only see cases that matter.
• AI-powered case-first automation prioritizes alerts based on severity, correlation, and potential business impact instead of overwhelming analysts with raw logs.
• Known false positives are automatically identified and closed out, preventing analysts from wasting time on noise.

The Morning After: With Torq, analysts finally see daylight. Instead of being buried under thousands of raw alerts, they’re presented with clean, prioritized cases enriched with context and scored by severity. False positives are automatically suppressed, freeing analysts from chasing ghosts. 

Customers report 80%+ reductions in alerts, faster MTTD/MTTR, and reclaim thousands of hours annually that were once lost to manual triage. The SOC shifts from drowning in noise to focusing on the handful of alerts that truly matter.

Nightmare 2: The Silent Scream (Critical Alerts Ignored)

The Nightmare: The alert queue builds and builds.. Is this alert real? Or another false positive? Fatigue sets in. But that one missed alert might just be the one that can take the business down. 

62% of SOCs admit they’ve ignored alerts that later turned out to be critical.

The Wake-Up Call with Torq HyperSOC™: 

• Autonomous triage ensures critical alerts automatically rise to the top of the queue, instead of being buried under low-priority noise.
• Each case is enriched with supporting evidence — including correlated telemetry, threat intelligence, and asset data — so analysts don’t waste time searching for context.
• Torq’s AI SOC Analyst, Socrates, generates clear, narrative-driven case summaries that help analysts quickly validate which alerts are genuine threats.

The Morning After: Torq ensures no alert slips through the cracks. Every critical alert is enriched with telemetry, threat intel, and AI-generated summaries before reaching an analyst’s desk. SOC teams cut MTTR by 75%+, giving them the time and confidence to respond before attackers can entrench themselves. 

Instead of second-guessing whether an alert is real, analysts wake up to cases that come with everything they need to take action quickly — no more missed warnings turning into full-blown incidents.

Nightmare 3: Code Red (Reactive Firefighting)

The Nightmare: 85% of SOCs are stuck reacting to endpoint alerts, always one step behind attackers who move laterally in under a minute. By the time the fire alarms go off, the whole house is already burning.

The Wake-Up Call with Torq HyperSOC™: 

• Agentic AI orchestrates automated containment actions across the SOC stack in seconds, from isolating compromised endpoints to disabling risky accounts.
• Torq connects EDR, IAM, SIEM, cloud, and ITSM systems in unified workflows, ensuring coordinated responses rather than siloed firefighting.
• Every containment and remediation action is automatically logged, providing a complete, auditable timeline of decisions and outcomes.

The Morning After: SOC teams stop reacting to the fire after it spreads and start containing it at the first spark. Torq customers now respond to incidents 10× faster than industry averages, often containing intrusions in seconds.

Endpoint isolation, account disablement, and malicious process termination happen automatically, documented in real time. Instead of endless firefighting, the SOC shifts to proactive prevention — with confidence that lateral movement is being shut down before adversaries can gain ground.

Nightmare 4: The Empty Chair (Burnout & Turnover)

The Nightmare: The fluorescent glow of the SOC hides the empty chairs. Another analyst gone. Another shift to cover. 62% of SOC professionals say their organizations aren’t doing enough to keep top talent. With an average tenure of only 3–5 years, the SOC becomes a revolving door.

The Wake-Up Call with Torq HyperSOC™: 

• Torq automates over 90% of Tier-1 tasks, including triage, enrichment, evidence collection, and initial containment, eliminating the repetitive work that drives burnout.
• Socrates, Torq’s AI SOC Analyst, is an always-on teammate who handles investigations and remediation at scale so humans don’t have to.
• Analysts are freed up to focus on engaging work like proactive threat hunting, strategy, and advanced incident response, restoring meaning to their roles.

The Morning After: The revolving door of SOC turnover slows. By automating more than 90% of Tier-1 tasks, Torq frees analysts from the endless grind of low-value work. SOCs running on Torq handle 4× more alerts with the same headcount, while giving their teams time to focus on threat hunting, strategy, and professional growth. 

Analysts are no longer chained to ticket queues — they’re energized by higher-value work that keeps them engaged, reduces burnout, and extends tenure. 

Nightmare 5: The Monster You Can’t Kill (Legacy SOAR)

The Nightmare: Legacy SOAR was supposed to help. Instead, it became another monster. Playbooks that don’t work. Endless scripting. Broken integrations. Whenever you think it’s dead, it rises again — blocking progress and draining resources.

The Wake-Up Call with Torq HyperSOC™: 

• Torq replaces playbooks with a modern, event-driven, multi-agent architecture that adapts to real-world complexity.
• Teams can build workflows using no-code, low-code, or pro-code — removing the dependency on Python developers to maintain basic automations.
• Torq comes with 300+ pre-built integrations, making it easy to connect existing security tools without months of custom development.

The Morning After: Organizations that migrate off legacy SOAR discover freedom. Instead of spending months scripting, patching, and babysitting fragile automations, Torq customers go live with critical workflows in under 30 days. 

Operational overhead drops by 50%, and the SOC gains resilience. With a flexible, event-driven architecture and 300+ integrations, the endless cycle of broken workflows and failed promises ends. The monster is finally defeated — replaced by a platform built to evolve with your team, not against it.

Wake Up From the Nightmare

The nightmares SOCs face aren’t just scary stories — they’re daily realities for teams buried in alerts, burning out talent, and battling attackers who move at machine speed. 

Torq HyperSOC™ puts an end to the nightmare. Combining agentic AI, Hyperautomation, and case-first architecture transforms SOCs from reactive firefighting units into resilient, autonomous operations. SOCs can now respond faster, deal with fewer false positives, have happier analysts, and finally get ahead of adversaries.

Sleep peacefully. We’ll leave the Torq on.

Eldad Livni is the Co-Founder and Chief Innovation Officer at Torq. Prior to founding Torq, Eldad co-founded and served as CPO of Luminate Security, a pioneer in Zero Trust/SASE. Following Luminate’s acquisition by Symantec, he went on to act as CPO of Symantec’s Zero Trust/Secure Access Cloud offering.

The security industry has a new buzzword problem. Walk through any major security conference, and you’ll hear every vendor claiming they’ve built “agentic AI” into their platform. But strip away the marketing speak, and most solutions are just basic automation with an AI label slapped on top.

SOC teams aren’t buying it. They’re drowning in 10,000+ daily alerts, facing a global talent shortage of 4.76 million cybersecurity professionals, and up against adversaries who now move laterally in less than an hour. They need real solutions, not rebranded point tools.

That’s where true agentic automation comes in — and why Torq HyperSOC™ represents a fundamentally different approach to AI-powered security operations.

The Agent-Washing Problem

Here’s the uncomfortable truth: most “agentic AI” in security isn’t actually agentic. It’s usually one of two things: deterministic workflows — rigid rules that break as soon as attackers change tactics; or chatbot-style agents — useful for summaries but incapable of acting autonomously or coordinating at scale.

True agentic automation requires AI systems that can:

• Reason autonomously across complex security scenarios
• Collaborate with other agents to solve multi-step problems
• Adapt dynamically to novel threats and environments
• Execute actions independently while maintaining human oversight
• Learn and improve from each interaction

Few platforms check those boxes. Torq does.

What True Agentic Automation Looks Like

Most SOC automation is still sequential — whether through scripted workflows or single AI agents mimicking Tier-1 analysts. Tasks run one at a time, slowing investigations and leaving room for missed edge cases.

Multi-agent systems break this bottleneck. Multiple specialized agents work in parallel, each focusing on its domain — from email analysis to endpoint forensics — while continuously sharing context. As new evidence emerges, they adapt dynamically, delivering investigations and remediation in seconds instead of minutes.

Torq takes this further with Hyperautomation: AI-driven security operations that move beyond rule-based responses to deliver autonomous detection, investigation, and remediation. At the core of our multi-agent system is Socrates, our AI SOC Analyst, supported by specialized HyperAgents that handle everything from triage to containment. Together, they achieve outcomes that traditional SOAR platforms or “AI add-ons” simply can’t match.

Take a phishing use case: 

• Autonomous investigation: When a potential phishing email hits your environment, multiple agents launch at once — one inspects headers, another scans attachments, and a third checks threat intel, finishing in seconds, not minutes.
• Dynamic remediation: Instead of scripting every step, AI agents evaluate context in real time and choose the right actions — blocking, removing, quarantining, or notifying — simplifying maintenance and covering edge cases workflows miss. 
• Collaborative intelligence: Our agents continuously share context and coordinate actions. They escalate to human analysts only when necessary, meaning most phishing alerts are resolved without manual intervention.

Other agentic automation platforms? At best, you could script this with workflows and drop in an AI step for summarization. The difference: Torq executes a full case lifecycle end-to-end, autonomously.

The Business Impact of True Agentic Automation

Unlike traditional automation that requires constant tuning and breaks with environmental changes, agentic automation delivers measurable business outcomes, including the ability to:

• Scale without headcount: Torq customers automate over 95% of Tier-1 security operations, effectively scaling their SOC without adding analysts. 
• Speed that matters: While the industry average breakout time has dropped to 48 minutes, organizations using Torq’s agentic automation contain threats in seconds, 10x faster than legacy SOAR. Speed isn’t just an advantage; it’s the difference between a contained incident and a full breach.
• Adaptive defense: Traditional SOAR playbooks break when attackers change tactics. Torq’s agentic automation adjusts in real time — adapting to new findings and edge cases during a session to stay on track. Beyond that, it learns across sessions, remembering preferences and tuning rules so your defenses continually improve. Your defenses evolve as fast as the threats.

Human-AI Collaboration, Not Replacement

What separates real agentic automation from marketing hype is that it’s designed to augment human expertise, not replace it. Torq doesn’t aim to replace analysts. Instead, AI agents take on the repetitive work — triage, enrichment, initial containment — so humans can focus on threat hunting, strategic projects, and high-stakes response.

When agents do escalate to humans, they provide complete context, suggested actions, and all supporting evidence. Analysts aren’t starting from scratch; they’re picking up where AI left off, with everything they need to make informed decisions.

AI Governance that Scales

Autonomy only works if it’s safe. Torq builds trust in AI through:

• Transparent decisions: Every AI (generative and agentic) action is explainable, auditable, and logged.
• Human control: Escalation and override steps keep analysts in charge.
• Enterprise security: Zero-trust AI architecture with encryption, validation, and attack resistance.
• Compliance by default: Audit-ready trails and standards alignment (including ISO/IEC 42001) are built in. Unlike black-box AI tools, Torq combines deterministic, well-tested workflows with AI guardrails — so you decide the balance between autonomy and oversight. Sensitive actions can always stay human-in-the-loop, while AI is equipped with trusted, validated tools to operate safely and predictably.

For enterprises and MSSPs, this means confidence that every automated action is both effective and accountable.

The Path Forward with Agentic Automation

The security industry is at an inflection point. Organizations can continue patching together point solutions and calling it “agentic,” or they can embrace platforms built for autonomous security operations. With Torq, SOCs scale without adding headcount, stop threats in seconds, and empower analysts instead of burning them out. 

The question isn’t whether agentic AI will transform security operations — it already has. The question is whether your organization will lead that transformation or be left behind by vendors still playing catch-up with marketing buzzwords.

Ready to move beyond agent-washing? Read the AI or Die Manifesto to learn how to approach AI in the SOC the right way.