Executive Overview As enterprises rapidly deploy autonomous AI sub-agents across HR, Finance, Software Engineering, and Marketing, a major architectural challenge has emerged: autonomous agents are stateless, unmonitored, and lack cryptographic accountability. Standard LLM guardrails inspect single prompt-response pairs in isolation. They fail to track historical patterns, detect secret API key leaks across sessions, or enforce immutable audit trails. When an agent exceeds micro-budgets or...