AI safety challenges.

Verify whether AI-generated content is authentic

Build an agent that checks provenance and live sources and returns verified / unverified / conflicting — never a fake all-clear — so orgs can tell what's real before they act.

Prevent AI agents acting on conflicting instructions

Build an agent that detects instruction conflicts (user vs tool vs page vs policy) and refuses or escalates instead of acting, so agents don't do the wrong thing when signals clash.

Block unauthorized actions by AI agents using tools

Build an agent that gates tool use against permissions and suspicious external content and blocks unauthorized actions, so agents can't be nudged into doing things they shouldn't.

Slow false information before it outpaces fact-checkers

Build an agent that triages fast-moving claims with live checks and next-step guidance, so false info doesn't race past verification unchallenged.

Detect AI impersonation of real people in media

Build an agent that checks image/audio/video for impersonation risk and says what to do next, so cloned faces and voices don't pass as the real person.

Protect children from unsafe advice in AI systems

Build an agent that screens AI answers for age/unsafe advice and refuses or redirects, so kids don't get harmful guidance from systems that ignore vulnerability.

Make online privacy practices understandable before data sharing

Build an agent that translates privacy practices into plain "what they take / what you risk / what to do" before share, so people don't give data they never meant to.

Locate sensitive data and who can access it

Build an agent that finds where sensitive data lives and who can reach it, then flags overexposure, so personal data doesn't leak because nobody mapped access.