AI Agent Security: Runtime Detection Insufficient

AI agent threat response requires multiple layers of security, and runtime detection alone is not enough. While runtime detection watches agents in motion and catches issues like prompt injection, pre-runtime controls are also crucial. Here's the thing: an agent using a legitimate API key can appear normal until a dangerous sequence unfolds. At machine speed, detection might only happen after credentials have already been used. This highlights why exposed access must be reduced before execution begins. What's interesting is that AI agents often run on developer laptops, which frequently contain access keys to many internal systems. Research shows that more than 10 valid plaintext credentials were exfiltrated from over 44% of developer laptops in some campaigns. The bottom line is that securing what actions and systems an AI can reach with these credentials must happen before an incident. Waiting until after something bad has happened, especially at machine speeds, is too late for effective prevention.