ReliaQuest vs. Torq
GreyMatter is an agentic AI security operations platform that unifies detection, containment, investigation, and response across your entire stack, achieving threat containment in under 5 minutes. Torq is a workflow automation engine with AI-driven alert triage that orchestrates post-alert response but does not detect threats or cover proactive security programs. For enterprise security teams that need agentic AI across the full TDCIR lifecycle, GreyMatter is the stronger fit.
GreyMatter Agentic AI
Torq is a workflow automation engine with AI-driven alert triage (Socrates). It does not detect threats or provide proactive security capabilities. Threat hunting, threat intelligence, DRP, attack surface discovery, phishing analysis, and in-transit detection remain your responsibility with separate tools and staffing.
ReliaQuest GreyMatter is an agentic AI security operations platform covering detection, containment, investigation, response, CAASM, digital risk protection (DRP), data pipeline management, and phishing analysis, all unified under a single architecture. Moves your team from reactive alert handling to proactive and predictive security operations.
Socrates AI automates alert triage and case closure, claiming 90%+ autonomous resolution. However, response automation requires your team to design, build, test, and maintain every workflow. As complexity scales, this becomes an ongoing staffing investment.
Six Agentic Teammates that leverage 200+ agent skills and 400+ AI tools, each purpose-built for core security functions. ReliaQuest GreyMatter achieves 99.4% investigation accuracy validated through a 7-layer lifecycle. Customer-controlled Agentic Memory for viewing, editing, and managing AI guidelines directly. Agentic automated response playbooks execute containment autonomously across your full stack.
Post-alert triage and automated response only. No independent detection engine: every blind spot in your detection coverage is a blind spot Torq inherits and cannot close. Investigations are workflow-based rather than autonomous. Investigation quality is capped by the quality of your upstream SIEM and EDR alerts.
Fully autonomous SOC lifecycle across EDR, IAM, email, cloud, and network, achieving threat containment in under 5 minutes. Investigates and responds to 74M alerts annually, 100% by AI. 57+ open source and paid threat intelligence feeds leveraged by Agentic Teammates, turning threat data into predictive insights.
300+ integrations for workflow orchestration across security tools. However, every integration must be designed and configured by your team. When a vendor updates an API or you onboard a new tool, your team owns the rework to keep integrations running.
250+ data sources with bidirectional APIs. GreyMatter is technology-agnostic: it integrates with your existing tools regardless of vendor, preserving your current investments rather than forcing ecosystem lock-in. Universal Translator auto-onboards custom and proprietary sources, no manual parsing or professional services required.
No detection capability. Does not create detection rules, tune existing ones, or help close coverage gaps. The quality of everything Torq does depends on detection work that falls entirely on your team and your existing tools.
Independent detection engine: 2000+ curated rules, at-storage, at-source, and in-transit coverage. Detection Engineering Teammate autonomously tunes rules and creates custom detections, or your team can build your own using GreyMatter's query language. Ingests and investigates alerts from your existing vendor tools and custom rules.
Can orchestrate workflows across tools in multi-cloud environments via API. No native asset discovery, attack surface mapping, or OT visibility.
Unified visibility across IT, OT, and multi-cloud environments with multi-entity support. GreyMatter Discover maps and monitors your complete attack surface.
Founded in 2020. Workflow automation platform focused on security orchestration. G2 reviewers consistently cite "difficult learning curve" and "debugging complex workflows" as top pain points. As your automation footprint scales, your team spends increasing time maintaining workflows rather than focusing on security outcomes.
AI is trained on nearly two decades of operational experience across 1,300+ complex environments. Data onboarding, custom parsing, rule tuning, and custom detections included. Your team retains full operational control.
Layers on top of your existing stack. You still pay for your SIEM, EDR, email gateway, and every other detection tool separately, increasing total vendor spend rather than consolidating it. No native detection means no SIEM cost reduction.
Core platform priced per endpoint and expansion capabilities priced by scope. No token-based pricing for AI usage. At-source and in-transit detection save customers an average of 3.5M annually on SIEM dependency and 900K annually on tool fragmentation. Delivers 224% three-year ROI (Forrester TEI, 2025).
SOC 2 Type II certified. All workflow logic, AI agent configurations, and case data live inside Torq. As your automation footprint grows, this creates vendor lock-in that makes scaling across new tools or migrating to a different platform increasingly costly and complex.
Backed by 100+ patents and 94% customer retention, with SOC 2 Type 2, ISO 27001, PCI DSS, and HIPAA certifications. FedRAMP In Process.
Torq states its AI "learns from your actions," but no documented interface exists for your team to view, edit, or manage how the AI's context evolves. AI accuracy claims (90%+ case closure) have no published methodology or validation framework for independent verification.
Agentic Memory lets analysts view, edit, and delete the AI's operational guidelines. Hallucination risk is mitigated through Retrieval-Augmented Generation (RAG), which grounds every AI response in historical security data. Utilizes a 7-phase AI testing and validation lifecycle: expert validation, crowdsourced QA, daily statistical sampling, golden dataset testing, LLM-as-judge evaluation, transparency artifacts, and built-in safety guardrails.
The ReliaQuest Difference
Built by Practitioners,
Trained on Reality
GreyMatter is built on decades of cybersecurity operations experience, using insights from various industries, attacks, technologies, and geographies across 1,300+ real customer environments. Our AI is designed and maintained by former and current SOC operators, including detection engineers, threat hunters, and incident responders.
An Agentic System.
Not Task Bots.
Standalone AI agents perform one well-defined task. GreyMatter uses task agents as skills under an agentic system. These agentic systems function as personas that reason across alerts, detections, hunts, threat intelligence, and exposures—using more than 200 agent skills and 400 AI tools to achieve a defined result.
Extensive
Validation Process
Active engineers and cyber experts continuously guide and refine AI behavior with guardrails, human QA/QC, and feedback loops that improve accuracy over time. Human-in-the-loop governance ensures trust and reliability.
Platform
Capabilities
GreyMatter is AI integrated with a security operations platform, including native capabilities like attack simulation, CAASM, and dark web monitoring that AI uses for additional context.
Multi-Model
Approach
GreyMatter uses a model-agnostic AI layer that selects the most effective model for each task—based on use case, data type, and performance requirements. Better outcomes, not model dependency.
7 Questions That Separate GreyMatter from Torq
The differences that matter most when your SOC needs a platform that goes beyond alert triage and workflow automation. Here's how GreyMatter compares.
ReliaQuest GreyMatter covers detection, containment, investigation, response, threat hunting, threat intelligence, DRP, and attack surface discovery in a single platform. Torq handles alert triage and automated response only. Threat hunting, intelligence, DRP, detection engineering, and attack surface visibility all require separate tools and staffing.
GreyMatter includes an independent detection engine with 2000+ rules running at-source and in-transit, finding threats independently of your SIEM. Torq has no detection capability. Every blind spot in your existing detection coverage is a blind spot Torq inherits and cannot close.
GreyMatter's Agentic AI handles 100% of Tier 1 and Tier 2 investigations at 99.4% accuracy, validated through a published 7-layer lifecycle including expert validation, LLM-as-a-judge, and golden dataset testing. Torq claims 90%+ autonomous case closure but has not published a validation methodology, false positive rates, or sample sizes.
Torq requires your team to design, build, test, and maintain every workflow, automation, and integration. G2 reviewers cite a difficult learning curve and debugging complexity as top pain points. GreyMatter's Agentic Teammates investigate and respond autonomously, and data onboarding, custom detections, and rule tuning are included with no add-on professional services.
GreyMatter includes curated threat intelligence that enriches investigations and informs detection logic, giving Agentic Teammates and analysts actionable context without bolting on a separate platform. Torq includes no native threat intelligence feeds, TI matching, or curated intelligence. Your team must source and apply intelligence from separate platforms.
Torq layers on top of your existing stack without replacing any tools. You still pay for your SIEM, EDR, email gateway, and every detection tool separately. GreyMatter consolidates detection, investigation, and response into one platform, saving customers an average of 3.5M annually on SIEM dependency and 900K on tool fragmentation.
GreyMatter includes no-code Workflows for custom automation and response orchestration, but it is not a traditional SOAR. It is an agentic AI security operations platform where AI investigates and responds autonomously rather than executing human-defined playbooks. Torq is architecturally closer to a traditional SOAR: it automates workflows your team builds and maintains, with AI layered on top for triage. The fundamental difference is that GreyMatter's AI makes security decisions, while Torq accelerates the manual processes your team already runs.
Download the complete guide with the right questions to ask when evaluating AI SOC vendors.
Built to Run in Your SOC,
Not Just Win in a Demo
GreyMatter is the agentic AI security operations platform built from inside security operations, informed by 15+ years of expertise across 1,300+ customer environments.
GreyMatter is production-ready, with six AI personas that use over 200 agent skills and 400 AI tools to work toward objectives across the full SOC workflow—not just isolated tasks.
Learn How GreyMatter Agentic AI Scales Your Security Operations
GreyMatter is an agentic AI security operations platform with 6 agentic Teammates that use hundreds of agent skills and AI tools to work toward an objective, not just tasks.
