5 Infrastructure Controls for Securing AI Agents

The Disturbing Discovery In July 2026, the AI Red Team at NVIDIA published findings of a six-month assessment review of enterprise AI agents, ranging from tools for interactive coding to continuously running autonomous assistants. Across every framework and harness, the pattern that emerges is consistently the same — the agents that failed did so for four primary reasons: no access controls on the agent itself, capabilities to execute arbitrary code, no restrictions on outbound networking or segregation, and plaintext secrets available to the agent. The problem is inherently architectural in n