CyCognito is expanding its exposure management platform with continuous AI-driven penetration testing that goes beyond traditional CVE-based scanning. The platform uses AI agents to simulate multi-step attack chains across enterprise infrastructure, identifying contextual risks like misconfigured AI services, exposed MCP servers, RAG deployments, and interconnected systems that conventional scanners miss. Real-world examples include an unauthenticated MCP server exposing millions of CRM records via prompt injection, an exposed RAG document repository, and an internet-facing physical security platform deployed without proper segmentation. The company's 'Target Graph' orchestration layer prioritizes AI agent effort based on business context and threat intelligence, enabling continuous rather than periodic testing. Validated attack techniques can be converted into deterministic tests to reduce future computational costs.
