AI Agent Authority

Know what every AI agent is authorized to do and why

Gain an independent, auditable understanding of every AI agent's authority — who it acts for, what it can access, why it's permitted to act, and the constraints that govern it.

Conceptual diagram showing an autonomous AI agent being governed by a central, real-time contextual access control layer for trusted, fine-grained authorization.

Agent autonomy demands independent oversight

AI agents are accessing sensitive data, using human credentials and executing tasks across enterprise systems.
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Their authority is scattered across identities, permissions, policies and applications. No single system holds the complete picture.
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When an agent acts, can you establish who authorized it, whose authority it exercised and whether that authority was appropriate?

Make agent authority explainable and auditable

Map your agent estate

Connect every agent to its owners, identities, workloads, credentials, systems and data. Build a living map of your agentic enterprise.

Trace delegated authority

Understand who an agent acts for, where its authority originates, how it's delegated and when it expires.

Establish independent governance

Maintain an enterprise-wide view of authority outside the frameworks and agents performing the work.

Build decision data products

Build reusable data products that show your most-used workflows for organizational learning

Authority is built on relationships

IndyKite.ai connects the full picture

An agent's authority depends on its relationships with people, identities, credentials, resources, business purpose and policies.

IndyKite brings that context together, creating a continuously managed, auditable map of agent authority across the enterprise.

Know who authorized an agent, what that authority covers and the conditions under which it applies.

Explore the platform
A conceptual diagram showing the IndyKite Platform

Prepare for runtime control

IndyKite connects data from your existing systems - Microsoft Entra, Okta, IAM platforms, applications and enterprise policies into a shared contextual model
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An independent layer of authority delivering visibility, explainability and availability to governance and enforcement systems.
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Independent of the agent. Connected to the enterprise.

Built for accountable agent autonomy.‍

Gain complete agent context

Understand ownership, purpose, delegation and access across your agent estate.

Support audit and compliance

Trace authority back to its sources, associated policies and business relationships.

Enable contextual authorization

Supply trusted authority context to IndyKite or third-party runtime enforcement systems.

Scale enterprise governance

Maintain a consistent authority model as agents, identities and relationships change.

Know the authority behind every agent

Bring clarity, accountability and independent oversight to your agentic enterprise.

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Resources

Blog

Meta's Muse and the enterprise risk of AI agent access you can’t see

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Guides & Whitepapers

The Enterprise Guide to EU AI Act Compliance

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News

Breakthrough AI wellbeing platform movemove selects IndyKite to power trusted AI

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