Companies Adopt Proactive AI Security Tools as 100s of Vendors Target New Attack Surfaces
Updated
Updated · Computerworld · Aug 26
Companies Adopt Proactive AI Security Tools as 100s of Vendors Target New Attack Surfaces
3 articles · Updated · Computerworld · Aug 26
Summary
Enterprises rolling out AI are increasingly turning to attack surface management tools to spot internal and external threats before they become breaches.
Analysts said many companies are unprepared for AI risks, including sensitive data leaking into LLMs and hard-coded secrets being pushed through AI-built apps to public GitHub repositories.
That shift reflects a move from reactive detection to scenario-based prevention: tools scan websites, repositories and social feeds for exposed assets, spoofed sites, open servers and sensitive files.
SMBs face the biggest gap because they often lack internal controls and cannot afford costly managed security services, even as AI agents add technical debt and open fresh attack surfaces.
Hundreds of vendors now span vulnerability scanning, attack-path mapping and cloud monitoring, but analysts said remediation still largely requires careful human review rather than full automation.