Automated policy checks

Build-and-release controls for agent bundles so changes are tested, approved, and traceable before production

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Ensuring agents access only necessary data for an approved purpose

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Service-grade identities and authentication for agent services and connectors

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Fine-grained, context-aware authorisation for agent tasks and action classes

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The link between written policy, machine-enforced rules, and proof of enforcement

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Embed agentic AI assurance, approvals, and policy enforcement into the software delivery pipeline so changes to agent bundles are tested, governed, and safely deployed

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Define and enforce precisely what agents can access and do across systems, data, and tools so autonomy is safe, least-privilege, and controllable at scale

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Capture end-to-end evidence of agent decisions and actions and automate reporting so the organisation can prove control effectiveness and investigate incidents

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Apply privacy-by-design across retrieval, memory, tool calls, and third parties so agents minimise data use and comply with purpose, retention, and consent requirements

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