AI Threat Landscape FAQ

Attackers are using AI to accelerate phishing campaigns, generate deepfakes for social engineering, automate vulnerability discovery, and evade traditional signature-based detection. GreyMatter's behavioral detection, threat intelligence, and agentic investigation capabilities are designed to identify malicious activity based on patterns and context rather than signatures alone, making them effective against AI-generated threats that bypass traditional defenses. ReliaQuest's Annual Threat Report tracks these evolving techniques.

Mythos has already identified 6,202 high- or critical-severity vulnerabilities across enterprise-critical software with a 90.6% confirmed validity rate, and the first wave of public CVEs arrived in July 2026. When mean time-to-exploit drops below zero, defenders need to find and close attack paths before attackers use them.

GreyMatter addresses this through Agentic Defense. GreyMatter Attack maps attack paths across identities, permissions, exposures, and controls, then returns a visual path with prioritized recommendations to close each gap. Teams can launch pre-built or natural-language attack campaigns and validate techniques against the live environment to prove what is exploitable, not just theoretical. Findings flow back into GreyMatter so Agentic Teammates can build detections, hunt for signs of prior use, and execute response actions when needed. The GreyMatter Network Effect also turns detections across the ReliaQuest customer base into shared, automatic protections.