Not All AI Is Built for
the Enterprise SOC
AI in security is everywhere. Not all of it works at scale.
The market is flooded with AI tools that look sharp in a demo but fall short in production—built on limited data, locked to a single model, and unproven at enterprise scale. Most AI security tools were built to enter a hot market and don't have what it takes to operate inside an enterprise SOC. GreyMatter is the agentic AI security operations platform built from inside the SOC for enterprise security teams, informed by 15+ years of operational expertise across 1,300+ customer environments.
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.
Startup AI vs. GreyMatter Agentic AI
for the Enterprise SOC
See what separates AI tools designed for demos from GreyMatter—an agentic system
already working in production for enterprise SOCs.
GreyMatter Agentic AI
Created in the last 3 years with #1 priority being to get acquired.
15+ years of mission-driven enterprise SOC operations and expertise.
Built by software engineers with little to no security expertise.
Built by teams who've investigated millions of real alerts—not just studied them.
Requires your data to train and build its product.
Doesn't train on your data. Applies context in real time.
Optimized for demo conditions and limited environments, not enterprise complexity.
Deployed across 1,300+ environments with diverse industries and tech stacks, processing 74M alerts annually.
Many "agents" are workflow executors.
Six AI personas that coordinate 200+ Agent Skills, and 400+ AI Tools across every core SOC function.
Siloed AI security capabilities.
Platform with native SOAR, CAASM, dark web, and deep intel.
Security of AI outputs or AI validation is on the customer.
Six-phase AI testing and validation lifecycle.
Claim model-agnostic; customers left to select and validate.
Model-agnostic architecture that automatically selects the best model per task.
Data normalization via LLM.
Patented Universal Translator for data normalization across 250+ technologies.
Priced per alert investigated, which caps coverage and creates visibility gaps.
Priced based on endpoint count. Unlimited alert investigations, direct connections, or data volume provide maximum visibility.
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.
5 Questions Every AI Vendor Should Be Able to Answer
These are the questions that separate production-ready AI from vendor claims. Here's how GreyMatter answers each one.
Our answer: No. GreyMatter's AI agents are not trained on individual customer data. They are informed by over 15 years of security operations expertise and refined through the patterns, threat intelligence, and operational knowledge gained from protecting more than 1,300 customer environments. Your environment-specific context is applied at inference time through Retrieval-Augmented Generation (RAG), not through model training.
Our answer: GreyMatter mitigates hallucination risk through RAG, which grounds every AI response in live and historical security data, combined with a six-phase AI testing and validation lifecycle, including expert validation, golden dataset testing, LLM-as-judge evaluation, and human expert oversight.
Our answer: GreyMatter's guardrails automatically escalate alerts to human review if a response fails specific criteria three times. Analysts can also flag inaccuracies directly in the platform, which triggers manual review and feeds back into the AI's continuous improvement cycle.
Our answer: Forrester's Total Economic Impact study found GreyMatter delivers 224% ROI over three years. Gartner recognizes ReliaQuest GreyMatter as an AI SOC platform, noting that ReliaQuest "leveraged decades of security operations insights to train generative and agentic AI models." ReliaQuest is continuously evaluated by leading analyst firms as the AI SOC market evolves—these aren't one-time assessments.
Download the complete guide with the right questions to ask when evaluating AI SOC vendors.
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.
