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AgentGuard - Governance kernel for AI agents trust, approvals, audit logs

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If your agent can break AgentGuard, Bitcoin has bigger problems than AgentGuard. AI agents can access databases, move money, and operate critical systems. Most teams give them broad permissions with little oversight. AgentGuard adds trust scoring, capability-based permissions, approval gates, and immutable audit logs, ensuring every action is verified, accountable, and governed before it happens. Control your AI before your AI controls your business.

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AgentGuard started from a simple question: what actually protects AI agents when they have real system access? Most agent frameworks assume agents behave correctly by default. In production, that assumption doesn’t hold. AgentGuard adds a governance layer on top of AI agents with four core primitives: Trust scoring that decays or grows based on behavior Capability-based access tokens with scoped permissions Human-in-the-loop approval gates for high-risk actions Full audit logs and real-time event streams The goal isn’t to slow agents down — it’s to make them safe enough to run in real systems.