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We Built the Governance Layer AI Agent Systems Need in Regulated Environments
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We Built the Governance Layer AI Agent Systems Need in Regulated Environments

via Dev.toArthur Palyan

We Built the Governance Layer AI Agent Systems Need in Regulated Environments Every enterprise deploying AI agents faces the same question: how do you prove what happened? Not what the agent was supposed to do. What it actually did. Which agent. In which session. Under whose authority. At what cost. And whether it was allowed. This is the governance gap. Agent systems are powerful. Agent governance barely exists outside vendor walls. The problem is not capability Modern AI agents can write code, query databases, send emails, manage files, and coordinate with other agents. The tooling is real. The autonomy is increasing. But autonomy without attribution is a compliance failure. In banking, healthcare, government, and any regulated industry, you cannot deploy systems that act without provable identity, auditable trails, and cost accountability. What external governance looks like We built the Nervous System to close this gap. It is an external governance layer that wraps any agent system

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