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CyCognito pushes AI pentesting beyond vulnerability scans as enterprise attack surfaces evolve

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.

CyCognito pushes AI pentesting beyond vulnerability scans as enterprise attack surfaces evolve

TL;DR

  • Traditional vulnerability management is insufficient for AI-driven enterprises.
  • Rapid AI adoption expands attack surfaces with new types of security gaps.
  • CyCognito's platform now includes continuous AI pentesting to simulate attacks.
  • Real-world examples show AI pentesting uncovering risks missed by traditional scanners.
  • Continuous testing is crucial due to dynamic environments and AI's speed.
  • The industry is shifting from identifying isolated vulnerabilities to understanding system interactions and exploitable pathways.