Torq Review
VisitAI SOC platform for enterprise security operations
Torq is an AI SOC platform for security operations teams that triage, investigate, and respond to alerts.
AI Panel Score
6.8/10
6 AI reviews
Reviewed
AI SOC platform for enterprise security operations
Torq is an AI SOC platform for security operations teams that triage, investigate, and respond to alerts.
AI Panel Score
6 AI reviews
Reviewed
Torq is used by security operations center (SOC) teams to process incoming security alerts without requiring a human analyst to manually review every one. The platform applies AI agents and automation workflows to triage alerts, investigate suspicious activity, and carry out response actions, escalating to human analysts only when needed. This is aimed at reducing alert fatigue and false-positive review burden for SOC staff.
The platform's core components include HyperAgents, described as AI agents that handle SOC tasks, and Auto Triage, a feature focused on automatically classifying and prioritizing incoming alerts. Torq also markets a capability called SOC Brain, positioned as a system that retains context and learns from past investigations rather than only executing static playbooks. The platform integrates with third-party security tools across categories including cloud security posture management (CSPM), threat intelligence, identity and access management (IAM), and threat hunting, and supports use cases such as cloud misconfiguration remediation, identity threat detection and response, phishing inbox remediation, and automated incident response.
Torq is built for enterprise security teams, including named use cases in financial services such as fraud response automation (for example, Zelle fraud response at a regional bank). It competes in the AI SOC and security orchestration, automation and response (SOAR) category. Pricing is not published on the website and is quote-based, obtained by requesting a demo.
Torq is delivered as a cloud-based platform accessed via the web, with integrations to external security tools (SIEM, CSPM, threat intel, IAM, and chatbot/productivity platforms) rather than as installable desktop or mobile software.
AI agents that autonomously triage, investigate, and respond to security alerts alongside human analysts.
Provides chatbot interfaces that let employees self-service common security and IT requests.
A learning system that retains context and memory across investigations rather than just recalling past data, improving over time.
Automatically enriches security alerts with contextual threat intelligence to speed up investigation.
Automates identity and access management tasks and workflows within security operations.
Automates end-to-end incident response processes within the security operations center.
Automatically triages incoming security alerts to reduce the volume that requires human review.
An end-to-end platform combining agentic AI and hyperautomation to run security operations at enterprise scale.
Integrates with cloud security posture management tools to feed automated detection and response workflows.
Detects cloud misconfigurations and automates remediation workflows to reduce exposure.
Detects and responds to identity- and cloud-access-based threats through automated workflows.
Monitors email inboxes and automates remediation actions for detected phishing attempts.
Torq's AI SOC platform is sold via custom, sales-led enterprise pricing. No public list prices are published; costs are negotiated based on workflows, integrations, automation volume, and org size.
Real automation depth, but quote-only pricing means you're flying blind until the demo call.
“Torq brings agentic AI to SOC triage with named capabilities like HyperAgents and SOC Brain. No published pricing and no free trial means real diligence work before you sign.”
No pricing page. No trial. Just 'request a demo' and named tiers like Essential with monthly AI credit quotas. That's a sales-led enterprise motion, and it tells you this isn't built for a quick pilot.
The features are specific and real: Auto Triage, SOC Brain retaining context across investigations, a fraud-response use case with a regional bank on Zelle. That's not vaporware language. Competes directly with Swimlane and Tines in SOAR, plus emerging AI SOC players.
Two questions before the board call: what's the actual credit-based cost at our alert volume, and can we get a 90-day pilot before committing to workflows-based pricing? Manual override and audit logs are there, which matters for defensibility. Pilot it with a scoped SOC use case, don't sign enterprise-wide blind.
Positions against Swimlane and Tines in SOAR with a distinct agentic AI angle via HyperAgents and Socrates.
Named financial services use case (Zelle fraud response) signals enterprise credibility, but quote-only pricing invites board scrutiny.
No free trial and workflow-based custom pricing means slow procurement before any measurable MTTR gains show up.
Agentic triage and SOC Brain context retention advance SOC capacity rather than just cutting cost on existing tools.
No public funding data in evidence; sales-led pricing model suggests real enterprise revenue but time-in-market is unclear.
Enterprise SOC teams drowning in alert volume who can commit to a sales-led pilot.
Avoid if your team needs transparent self-serve pricing or a fast trial before committing budget.
Autonomous SOC agents that reduce triage load, but the audit and governance model needs board-level scrutiny before rollout.
“Torq's HyperAgents and SOC Brain push agentic automation deeper into incident response than most SOAR incumbents attempt. The tradeoff: quote-based pricing and undocumented API scope make risk modeling and 3-year TCO harder to pin down before contract.”
HyperAgents plus SOC Brain is a real architectural bet: agents that carry memory across investigations rather than replaying static playbooks. If this holds up at scale, my analysts stop drowning in duplicate false positives and MTTR actually moves. That's a legitimate capability gap versus older SOAR tools like Splunk Phantom or Palo Alto XSOAR, which automate but don't learn.
The override and audit-log answer in the buyer FAQ is the right instinct — human-on-the-loop, not fully autonomous by default. But no published pricing page, no docs, no changelog visible means I can't model blast radius or exit costs before a sales call. That's a governance gap, not just a procurement inconvenience.
Three-year view: if SOC Brain's learning loop is real, you're building institutional memory into a vendor you can't easily replace. If it's marketing, you've automated your alert fatigue problem into a black box. Named use case at a regional bank for Zelle fraud response is a good signal, but one case study isn't a track record.
Positions ahead of traditional SOAR players like Palo Alto XSOAR on autonomous agentic response.
Human-on-the-loop override and audit logs match how mature SOC teams actually want to govern automation.
Integrates across CSPM, IAM, and threat intel categories, but no public API docs to assess depth.
Learning system creates institutional lock-in — valuable if accurate, costly to unwind if not.
SOC Brain's contextual memory model goes beyond static playbook automation seen in legacy SOAR.
Enterprise SOC teams with named budget for agentic automation and the maturity to govern AI-driven response decisions.
Avoid if your security team needs transparent pricing and public API documentation before committing procurement cycles.
Zero public numbers. Credits, tiers, add-ons — all quote-based, all opaque.
“No pricing page, no list price, no published tiers. Procurement starts from zero leverage.”
No pricing page. Contact Sales is the only tier listed. Costs scale by workflows, integrations, and automation actions — three variables, none quantified.
Mention of 'Essential' tier with monthly AI credit quotas, plus paid credit add-ons. That's a metered model. Category norm for SOAR/AI SOC is enterprise quote-based, so Torq isn't unusual — but compare to Tines or Swimlane, where at least demo-tier ranges leak out. Here, nothing does.
3-year TCO model is guesswork without a quote. Credit overages are the real risk — usage-based AI pricing plus enterprise integration fees compounds fast at scale. No published overage rate means no way to forecast year 2 spend, let alone year 3. Audit logs and override controls are solid governance features. But governance doesn't offset an invisible invoice.
Sales-led onboarding with custom quotes means procurement friction before you see a number.
No published terms; enterprise SOAR deals typically carry multi-year lock-in and negotiated renewal windows.
No list prices, no tier breakdown beyond 'Contact Sales' and a vague 'Essential' mention.
MTTC and alert-volume reduction are measurable claims, but no benchmark numbers are published.
Credit-based add-ons plus integration/workflow-scaled pricing make 3-year cost unpredictable.
Enterprise SOC teams with budget for a negotiated, quote-based platform.
You need visible pricing to build a business case before your first sales call.
Autonomous triage sounds great until you're auditing why HyperAgents closed a real incident.
“Torq bets on agentic AI closing the alert-fatigue gap that Splunk SOAR and Tines automation never fully solved. The audit-log-and-override story is right, but there's no docs page or public API reference to actually vet how deep that control goes.”
'Human-on-the-loop' is the pitch, but the H1 — 'not every alert needs a human' — tells you where the defaults probably sit. That's fine for phishing inbox remediation, less fine when SOC Brain is 'learning from past decisions' on identity threat detection and you're trying to explain a missed IAM escalation to an auditor six months in.
No docs page, no changelog, no public API listed in the evidence. For a platform that competes with Tines and Swimlane on SOAR workflows, that's a real gap — you can't pressure-test playbook logic or credit-consumption limits (mentioned for 'Essential' tier) before a sales call.
Override and audit logs exist, which matters for compliance sign-off. But quote-based pricing with workflow/integration-count tiers means you're negotiating blind on what a bad automation month actually costs you.
Auto Triage and SOC Brain promise reduced alert review, but no changelog or docs to verify tuning burden post-deploy.
No public docs page or API reference in evidence — capability claims (Socrates, SOC Brain) rest on marketing copy, not technical reference.
Quote-based pricing tied to workflow/integration/action counts adds negotiation friction before a single alert is triaged.
Low-code workflow builder plus named agents (HyperAgents, Socrates) suggest depth, but discoverability of advanced tuning is unverified.
Integrates with CSPM, IAM, and threat intel tools, positioning it inside existing SIEM/SOAR stacks rather than replacing them.
Enterprise SOC teams already running SOAR workflows who need to cut alert volume and can staff a POC to validate override controls.
Avoid if you need public documentation or transparent pricing before committing engineering time to evaluation.
Nobody outside a demo room has told you what day three feels like yet.
“Torq throws a lot of AI at the alert-fatigue problem, and the named features sound thought through. But there's zero public pricing, zero trial, and nothing showing how this holds up once the sales deck goes away.”
Every vendor in this space says the same thing now: too many alerts, not enough humans, let the AI eat the noise. Torq's pitch (HyperAgents, Auto Triage, SOC Brain, an agent literally named Socrates) is more branded than most, which cuts both ways. Memorable, sure. But when everything has a proper noun, month three is when you find out which parts are real workflow and which are marketing skin.
There's no pricing page, no free trial, no public docs. You get a demo or you get nothing. Compare that to Tines or Swimlane, where at least the shape of the product is visible before a sales call. That's the enterprise SOAR playbook, I get it, but it means I can't tell you what onboarding feels like, whether the audit logs are actually readable at 2am, or if 'human-on-the-loop' is a real toggle or a checkbox nobody uses.
The override and audit-log answers in their FAQ are the right instincts. I just can't confirm any of it holds up past the pilot.
No public UI evidence beyond marketing copy, so daily details like empty states are unverifiable.
SOC Brain's claim to learn from past decisions suggests the tool should get easier to trust over time, per their FAQ.
Delivered as a web platform with no mobile mention at all, standard but unconfirmed for a SOC tool.
No trial, no docs page, quote-based demo-only entry means real onboarding starts weeks after interest.
Audit logs and manual override are named, concrete trust features, though no uptime or SLA data is public.
Enterprise SOC teams drowning in alert volume who have budget for a sales-led security automation platform.
Avoid if you want to see pricing or test-drive the product before committing to a sales call.
SOAR with an AI coat of paint — Socrates and SOC Brain need proof, not just names.
“Torq layers agentic branding onto a workflow automation platform that's existed under other names for years. No pricing, no docs, no changelog — just a demo request and a lot of confidence.”
"Every alert needs attention. Not every alert needs a human." Clean line. Also the exact pitch Swimlane and Tines have been running for years in SOAR. Torq adds agent names — HyperAgents, Socrates, SOC Brain — on top of what reads as the same triage-and-remediate workflow engine. Naming things after philosophers doesn't prove autonomy.
No public pricing, no docs page, no changelog. Quote-based only, tiers like 'Essential' with credit quotas mentioned but not priced anywhere visible. That's normal for enterprise security tooling — Palo Alto and CrowdStrike do the same — but it means you can't evaluate cost or lock-in until you're already in a sales call.
Exit story is the real question mark. Workflows, integrations, and "learned" SOC Brain context are exactly the kind of thing that doesn't export cleanly. If Torq stalls, you're rebuilding playbooks elsewhere, not migrating a config file.
Competes directly with Tines, Swimlane, and Torq's own prior SOAR positioning; agentic framing is the main new claim.
SOC Brain's learned context and custom workflows aren't the kind of thing you export to a competitor.
Named financial-services use case (Zelle fraud response) suggests real deployments, but no funding or team signals in evidence.
"End-to-end" and "at enterprise scale" are the kind of superlatives that outrun what's independently verifiable here.
Fits the SOAR-to-AI-SOC pivot pattern seen across the category; not yet distinguished from that pack.
Enterprise SOC teams already committed to SOAR-style automation who want to test agentic triage claims directly with sales.
Avoid if you need transparent pricing or a clean exit path before committing budget.
Common questions answered by our AI research team
Torq SOC Brain is Torq's AI SOC that learns from every decision and historical incident, rather than just remembering — it continuously refines its verdicts based on your team's past decisions and grows more accurate with every case your SOC closes.
Yes. Torq keeps transparent audit logs and offers a manual override option so analysts stay in control of AI-driven triage decisions.
No. Torq's agentic response can run completely autonomously or with human-on-the-loop oversight, letting teams stop threats and remediate root causes while staying in control.
Torq's AI agents agentically de-duplicate events and filter false positives to suppress noise, then deliver clear AI verdicts that prioritize actual threats grounded in the team's past decisions.
Socrates is Torq's natural language-driven Agentic AI that autonomously remediates critical threats, slashing mean time to respond by chasing down answers on complex, prioritized cases.
Company
TorqFounded
2020
Torq is a security automation platform based in Portland, Oregon, that helps enterprise security operations centers triage, investigate, and respond to threats.
