ReliaQuest, a world-class cybersecurity firm that specializes in agentic AI cybersecurity, introduced the GreyMatter Attack. This is an agentic capability embedded in the company’s flagship product, GreyMatter. GreyMatter Attack is designed to defend against AI-powered cyberattacks by allowing SOCs to conduct red teaming using artificial intelligence, understand attack vectors in complex hybrid environments, and obtain remediation advice in natural language.
Cyberattackers use generative and autonomous AI to their advantage due to three main aspects: speed, scale, and reduced technical barrier to entry. GreyMatter Attack utilizes the same principles for the benefit of cybersecurity experts. By prompting the platform in plain language starting from a specific user identity, entry point, or threat actor tactic, security teams can generate visual attack maps that pinpoint potential security gaps.
However, GreyMatter Attack is much more than just mapping threats on a conceptual level:
- One-Click Attack Path Validation: Defenders are able to run simulated attacks in the actual environment to validate exposure risks on-the-fly.
- Automated Feedback Loops: Information is used to inform ReliaQuest’s unique Agentic Teammates, which will generate new detections, change security policies, and implement countermeasures autonomously.
ReliaQuest is unveiling GreyMatter Attack at Black Hat USA 2026 to showcase how exposure management can be performed proactively to outpace threat actors.
Also Read: Closing the AI Security Gap: F5 and NVIDIA Team Up to Secure Production AI Applications
Industry Transformation: Shifting from Reactive Defense to Autonomous “Purple Teaming”
Agentic red teaming represents a critical watershed moment for the Cybersecurity and Threat Exposure Management sector. For a long time, enterprise-level cybersecurity has been very much a reactive one, where any threat was noticed only after an attack happened or through pen tests conducted at intervals and manually.
Key Industry Shifts Triggered by Agentic Red Teaming
- Customizing Exposure Management Over Time-Based Audits: It is not enough for annual or quarterly manual red-teaming activities to be done. Simulated AI red-teaming can be done in real time.
- Purple Teaming through Aggregation of Red and Blue Teams: Through vulnerability identification and mitigation in one process, agentic systems make purple teaming available. With grey matter systems, tier-one analysts are able to do threat simulations without necessarily being experts in offensive tactics.
- Natural Language Abstraction Layers: Natural-language abstraction layers have removed the vendor-specific querying language restrictions in the use of AI brokers such as GreyMatter.
Impact on Operating Businesses: ROI, Resilience, and Risk Reduction
For enterprises operating in digital-first industries such as financial services, healthcare, retail, and critical infrastructure the arrival of agentic threat mapping addresses several pressing operational challenges.
| Business Metric | Traditional Approach | Agentic Defense Approach |
| Exposure Identification | Weeks to months via manual audits | Seconds to minutes via natural language prompts |
| Remediation Speed | Patch cycles take 30–90 days | Autonomous detection creation & automated mitigation |
| Security Operations Cost | High dependency on scarce senior red-team talent | Scalable, AI-assisted red-teaming across entire enterprise |
| Risk Visibility | Fragmented across siloed security tools | Unified attack path mapping across hybrid environments |
1. Slashing Time-to-Remediation
By converting discovery into automated remediation pathways, businesses significantly narrow the window of exposure. Autonomous agents write detections and enforce security controls immediately after an attack path is validated, curbing lateral movement before attackers find the opening.
2. Solving the Cyber Talent Shortage
Security operations teams face chronic burnout and talent deficits. Enabling existing analysts to interface with complex environments using natural language allows security teams to accomplish higher-volume proactive testing without proportionally inflating headcount.
3. Lowering the Total Cost of Cyber Incidents
Path exposure without management results in enterprise security breaches that incur huge expenses for organizations. Proactively automating the process of path mapping turns enterprise security from being an expensive cost center to an agile security function.
The Road Ahead
As frontier AI models continue to lower the barrier for sophisticated cyber attacks, tools like ReliaQuest‘s GreyMatter Attack signal a essential evolution in enterprise defense. By equipping defensive teams with continuous, AI-powered offensive simulation, businesses can turn security telemetry into a proactive weapon ensuring enterprise resilience keeps pace with modern adversary capabilities.
