Why Monitoring Isn't Enough: The Case for Active AI Agent Governance
Monitoring tells you what happened. Governance controls what can happen. As AI agents handle critical operations, the difference becomes mission-critical.
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Thinking about autonomous systems, agent coordination, and deterministic execution.
Monitoring tells you what happened. Governance controls what can happen. As AI agents handle critical operations, the difference becomes mission-critical.
We built a full state machine transition system with three models and an N×N matrix. Then we replaced it with two fields per state. Here's why.
Deploying AI agents without SOC 2 controls is a liability. OpenWeave's architecture enforces the principles auditors look for — by design, not by policy document.
The new approval gates feature adds a critical checkpoint: bots cannot enter gated states without explicit ticket-level approval from a human.
AI agents skip steps, corrupt state, and ignore process. A state machine enforces deterministic transitions — different rules for bots and humans, no exceptions.