tech
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.

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.