Key Takeaways
- ReliaQuest’s new GreyMatter Attack capability brings AI‑driven red‑team functionality to the GreyMatter platform, enabling proactive exposure identification and remediation.
- The solution leverages natural‑language prompts to generate visual attack‑path maps, prioritize fixes, and validate findings directly in the defender’s environment.
- Findings feed into ReliaQuest’s Agentic Teammates, which autonomously create detections, trigger responses, and harden controls without manual intervention.
- GreyMatter Attack complements the existing GreyMatter Agentic Defense suite—Universal Translator, Detection at Source/Storage/Transit, and Agentic Orchestration—delivering a unified, tool‑agnostic security operating layer.
- Live demonstrations will be available at ReliaQuest’s booth (#2139) during Black Hat USA 2026, with optional briefings schedulable via the company website.
Overview of GreyMatter Attack
ReliaQuest has introduced GreyMatter Attack, an agentic capability embedded within its GreyMatter platform that empowers security teams to act like red‑teamers using AI. Rather than waiting for adversaries to discover weaknesses, defenders can now simulate attacks, map potential exploit routes, and close gaps before they are weaponized. The feature is positioned as a proactive counterpart to the platform’s existing detection and response functions, shifting the security posture from reactive to anticipatory. By integrating directly into the GreyMatter ecosystem, GreyMatter Attack inherits the platform’s existing AI models, data‑normalization layers, and orchestration mechanisms, ensuring seamless operation alongside current workflows.
AI Advantages for Defenders
The announcement underscores how artificial intelligence has reshaped the threat landscape, giving attackers unprecedented speed, scalability, and accessibility to sophisticated techniques. GreyMatter Attack flips this dynamic by granting defenders the same AI‑powered advantages. Using frontier AI models already embedded in GreyMatter, the tool can rapidly generate realistic attack scenarios, assess their feasibility, and prioritize remediation based on risk impact. This capability reduces the time and expertise traditionally required for red‑team exercises, allowing even small security teams to conduct continuous, AI‑augmented threat emulation without relying on scarce specialist skill sets.
Natural‑Language Interaction and Attack Path Generation
A core innovation of GreyMatter Attack is its reliance on natural‑language prompts. Security analysts can initiate a simulation by describing a user identity, an initial access point (e.g., a phishing‑compromised credential), or referencing a known adversary technique (such as MITRE ATT&CK’s T1059). The platform interprets the prompt, consults its integrated threat intelligence and organizational telemetry, and produces a visual attack‑path diagram that highlights every hop‑controlled entry to valuable assets. The visual map is interactive, allowing analysts to drill into individual nodes, view associated vulnerabilities, and see contextual data such as recent alerts or configuration drift.
Validation and Remediation Workflow
Beyond generating theoretical paths, GreyMatter Attack enables in‑environment validation with a single click. When a defender confirms a simulated step, the platform attempts to execute the corresponding action—such as attempting lateral movement via a specific protocol—in a safe, controlled manner within the organization’s own network. Successful validation flags the path as exploitable, while failed attempts highlight existing mitigations. Following validation, the system surfaces prioritized remediation recommendations, ranking fixes by factors like exploitability, asset criticality, and effort required. Analysts can accept, modify, or dismiss each suggestion, and approved actions are automatically queued for implementation through existing ticketing or change‑management processes.
Integration with Agentic Teammates
Findings from GreyMatter Attack are not left as static reports; they are fed directly into ReliaQuest’s Agentic Teammates—autonomous AI agents that continuously monitor, detect, and respond. Upon receiving a validated exposure, an Agentic Teammate can instantly create a new detection rule, trigger a containment playbook (e.g., isolating a host or revoking credentials), or deploy additional controls such as network segmentation or enhanced logging. This closed‑loop capability means that once a weakness is identified, the platform can begin to remediate it without human delay, dramatically shrinking the window of opportunity for attackers.
GreyMatter Platform Foundations
GreyMatter Attack builds upon the three core pillars that define the GreyMatter Agentic Defense platform. The Universal Translator normalizes telemetry from any vendor‑specific source without requiring data centralization, ensuring the AI models have a complete, real‑time view of the environment. Detection at Source, Storage, or in Transit captures threats wherever data resides or moves, preventing evasion through bypass of traditional indexing pipelines. Finally, Agentic Orchestration combines a natural‑language operating layer, multiple autonomous agentic systems, and an AI Model Broker that selects the optimal model for each task based on speed, cost, and accuracy. Together, these components give GreyMatter Attack the contextual depth and operational agility needed to simulate realistic adversary behavior across hybrid, multi‑cloud infrastructures.
Demonstration at Black Hat USA 2026
ReliaQuest will showcase GreyMatter Attack at Black Hat USA 2026 in Las Vegas, inviting attendees to visit booth #2139 for live demonstrations. Participants can observe how a simple natural‑language query triggers end‑to‑end attack‑path generation, validation, and remediation recommendations in a simulated enterprise environment. For those seeking a deeper dive, the company offers the option to schedule a private briefing via the dedicated landing page at https://reliaquest.com/black-hat/. The event aims to illustrate how AI‑driven proactive defense can be operationalized today, rather than remaining a future concept.
About ReliaQuest
Founded in 2007, ReliaQuest has evolved into a pure‑play agentic AI cybersecurity firm. Its flagship GreyMatter platform serves as the enterprise’s Agentic Defense, enabling any defender—regardless of tool expertise—to detect threats, conduct investigations, execute response actions, and hunt threats across the entire technology stack using plain‑language interactions. By eliminating the need for specialized tool knowledge and avoiding mandatory data centralization, GreyMatter reduces operational complexity while improving speed, efficiency, and cost control. The company’s mission is to make security possible for organizations facing an increasingly AI‑accelerated threat landscape, a vision now reinforced by the launch of GreyMatter Attack.