According to @galnagli, a security researcher has been running an automated AI Attacker agent against newly launched AI platforms and reported data exposure risks on rentahuman.ai and a database exposure tied to @moltbook, highlighting urgent hardening needs for prompt-driven agents and early-stage AI apps. As reported by the original tweet from Nagli on X, the findings underscore the business risk of inadequate access controls, insecure defaults, and weak input validation in AI agent backends. According to the post, teams should prioritize least-privilege credentials, environment variable segregation, and audit logging to reduce breach impact and accelerate compliance readiness for enterprise adoption.