Building Bulletproof AI Agents: Security Lessons From Running Autonomous Systems

As AI agents grow more autonomous and persistent, security becomes harder to guarantee—especially when agents operate across multiple platforms with different rules and monitoring. This article reveals the non-obvious failure modes that affect even well-intentioned systems: invisible suspensions, credential leaks through logging, and behavioral profiling that treats new accounts doing normal things as bots. Understanding these lessons is critical for anyone deploying agents that interact with external platforms or handle sensitive operations.