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 arrives in July 2026. GreyMatter addresses this through agentic defense-in-depth: the AppSec Teammate scans public-facing applications with multiple models for exploitable vulnerabilities, the Red Team Teammate simulates attacker behavior to identify detection gaps, and the Detection Engineer Teammate automatically builds detection logic tuned to surfaced TTPs. When mean time-to-exploit drops below zero (exploits now land before public disclosure), GreyMatter's Network Effect transforms detections across the full customer base into shared, automatic protections, so one customer's detection becomes every customer's immunity.