Artificial intelligence adoption leaves behind a trail of exposed components - unauthenticated inference APIs, unprotected orchestration dashboards, leaked model credentials and publicly accessible vector databases - none of which carry a CVE, and most of which go undetected by traditional security tooling. Daily internet scans consistently surface over 500 critical-severity AI exposures, many granting direct access to models or PII.

In this session, Shubham Mittal, co-founder and CEO of RedHunt Labs, will share insights on:

• How nine distinct AI exposure layers - from inference and orchestration to public interaction and identity - create invisible breach paths across interconnected systems;
• Why traditional security platforms miss these exposures: no CVE, no crafted payload, no anomalous signature, just legitimate-looking traffic walking through an open door;
• How organizations can defend against AI exposure through reachability controls, least-privilege agent policies, credential protection and continuous AI exposure management.