Agentic Governance

    Agentic Governance

    AI agents don't just generate text. They call tools, query databases, trigger workflows, and take actions across your systems. Output filtering doesn't help when the risk isn't what the model says, it's what the agent does next.

    Trussed governs agentic AI at the execution layer, evaluating policy before every tool call, data access, and workflow trigger.

    Enforce boundaries on agent actions in real time.

    Every tool call and API request is authorized against policy before it executes.

    Govern multi-agent workflows end to end.

    Policy enforcement applies across agent-to-agent communication, shared memory, and inter-system handoffs.

    Maintain oversight as agents scale.

    Governance travels with the agent regardless of which model, tool, or environment it operates in.

    Are your AI agents properly governed?