Intent-based agent authorization

Control what AI agents can access and do

Authorize data access, tool use and actions at runtime, based on intent, enterprise policies and live context.

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

Intent-based access control

Runtime policy enforcement

Trusted data use

Put AI agents to work where the stakes are high—with authorization grounded in business context, task intent and the trustworthiness of your data

‍

Govern every agent action

Intent-based authorization

Turn the initiating user or agent’s request into structured intent that defines which tools and agent skills the task requires. Preserve that intent throughout the workflow, enforcing task-specific access at every step.

Decisions grounded in live context

Evaluate requests using relationships, consent, data sensitivity, provenance and trust. IndyKite’s knowledge graph connects these signals to determine whether the requested data and action are appropriate for the task.

Enforcement at every step

Apply fine-grained policies as agents retrieve data, invoke tools and execute actions. Evaluate each request against current conditions, so authorization responds to changes in data, relationships and policy.

Explainable decisions

Trace each authorization decision to the request, intent, data context and policies involved. Give teams clear evidence of what was permitted and why, supporting oversight, audits and investigation.

Enable AI agents to act safely across data, systems, and workflows

AI agent security at enterprise scale

Enforce real-time authorization through graph-based, fine grained access control

Prevent misuse with purpose-based, adaptable and contextual policies

Gain full visibility into agent behaviour and decision-making

Control agent access and usage across structured and unstructured data

Scale AI innovation securely — with confidence and compliance built in

AgentControl

From task intent to authorized action

AgentControl governs how AI agents retrieve data, use tools, and take action — context-aware, enforced in real time, and fully traceable.

Explore AgentControl
Cover image for the E-Guide: 'Granular Access Control for AI Agents.' The image features the side profile of a human head, composed of circuit board lines and glowing blue digital light streams.

Empower AI agents to act responsibly — every time, in every context.

Download E-Guide

Every agent action,
authorized

Bring precision, live context and runtime enforcement to your agentic enterprise.

Book a demo

Resources

Blog

Intent based access control: Whose Intent is it anyway?

Next

Guides & Whitepapers

The Enterprise Guide to EU AI Act Compliance

Next

News

Breakthrough AI wellbeing platform movemove selects IndyKite to power trusted AI

Next