ReliaQuest vs. Vega
GreyMatter is an agentic AI security operations platform that unifies detection, containment, investigation, and response, achieving threat containment in under 5 minutes. Vega Security offers federated detection and search, but leaves response, AI-driven triage depth, and proactive security to your team and other tools. If your SOC needs more than a detection layer, here's how the two compare:
GreyMatter Agentic AI
Vega Security is an AI-powered federated detection and search platform that queries data without requiring centralization. Only covers detection, search, and investigation; response, proactive security, and exposure management require 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.
AI powers detection rule creation, alert correlation, and natural language search queries. AI-driven triage outputs are surface-level with no visible reasoning or audit trail.
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.
Detection and search only. No response or containment actions across any technology category. Every containment step requires leaving the platform and switching to a separate tool. Automated response is described as "expanding" but is not confirmed in production.
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.
Pre-built connectors for data lakes, analytics platforms, cloud storage, and SIEMs. Narrow integration breadth with no documented bidirectional integration support for response actions.
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.
Federated detection architecture that creates and deploys rules across connected environments using AI. Detection is Vega's core strength, but without data normalization, teams must learn query languages to write their own detections.
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.
IT- and cloud-focused. No documented OT support or multi-entity management capabilities.
Unified visibility across IT, OT, and multi-cloud environments with multi-entity support. GreyMatter Discover maps and monitors your complete attack surface.
Founded 2024 with less than two years in production. Automated response capabilities are roadmap promises, not production-ready features.
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.
Pricing available upon request. Positions as a SIEM cost-reduction alternative by eliminating data centralization. However, the 70-80% savings claim applies to SIEM ingest costs only. Response, automation, proactive security, and exposure management still require separate tools and budget.
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 2 and ISO 27001 certified. No publicly documented deployment scale or long-term customer retention data.
Backed by 100+ patents and 94% customer retention, with SOC 2 Type 2, ISO 27001, PCI DSS, and HIPAA certifications. FedRAMP In Process.
Your team cannot view, edit, or manage stored AI memory. Environment changes may require engaging the vendor or rebuilding detection logic. AI triage outputs provide no visible reasoning or audit trail for analysts to inspect or validate.
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.
6 Questions That Separate GreyMatter from Vega Security
The differences that matter most when your SOC needs a battle-tested platform with proven response capabilities, not a cost-reduction layer with roadmap promises. Here's how GreyMatter compares.
Vega's 70-80% savings claim applies specifically to SIEM data centralization costs. It does not account for response, automation, proactive security, or exposure management, all of which still require separate tools and budget. GreyMatter reduces total SOC costs by consolidating these functions into one platform, saving customers an average of $3.5M annually on SIEM dependency alone and returning $2-$4 for every $1 invested in the platform.
GreyMatter's Agentic ARPs execute containment autonomously across EDR, IAM, email, cloud, and network, achieving threat containment in under 5 minutes. Vega has no response or containment actions across any technology category. When a threat is detected, your analysts must leave the platform and log in to individual tools to contain it.
No. Vega's automated response and AI-assisted triage are described as "expanding" and "upcoming." These are roadmap promises, not production-ready features. GreyMatter's ARPs and agentic AI investigation are in production today across 1,300+ enterprise SOCs.
No, Vega's AI triage outputs are surface-level with no visible reasoning or audit trail. Analysts have no way to inspect what the AI concluded or why. GreyMatter provides full transparency through Agentic Memory and auditable investigation trails from trigger to resolution.
ReliaQuest GreyMatter. GreyMatter includes Discover (CAASM), Digital Risk Protection, Phishing Analyzer, and Detection Validation natively within the platform. Vega does not provide exposure management, digital risk protection, phishing analysis, or detection validation. Each requires separate tools.
Vega has less than two years in production, meaning there are likely untested edge cases that represent real risk for your SOC. GreyMatter processes 74M alerts annually with 99.4% accuracy and is built on nearly two decades of enterprise security operations experience across 1,300+ SOCs. This provides a depth of operational context that a newer platform cannot replicate.
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.
