The cybersecurity industry is confronting a new reality: traditional vulnerability management is no longer enough. As enterprises rapidly deploy AI-powered applications, autonomous agents, and large language model (LLM) infrastructure, security teams are discovering that many of the most dangerous exposures cannot be identified through conventional CVE-based scanning alone. Instead, organizations are increasingly grappling with misconfigured AI services, exposed machine learning infrastructure, and interconnected systems that create entirely new attack paths.
Against this backdrop, CyCognito is expanding its exposure management platform with continuous AI pentesting capabilities designed to uncover complex, contextual risks that deterministic scanners often overlook. The initiative reflects a broader shift across the industry, in which security leaders are moving beyond identifying known vulnerabilities to continuously validating how attackers could exploit an organization’s unique environment.
AI Creates New Blind Spots
The rapid adoption of generative AI has dramatically expanded enterprise attack surfaces. Organizations are deploying AI copilots, retrieval-augmented generation (RAG) systems, Model Context Protocol (MCP) servers, orchestration platforms, and machine learning infrastructure faster than many security programs can inventory them.
