November 6, 2024 4:00 PM
CET
How to improve the security, scalability and intelligence of your access control
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SOLUTION
Secure your AI agents
Enable trusted, fine-grained control for autonomous AI agents.
Contextual access control
Dynamic enforcement
Trusted data use
Static, role-based rules can’t keep up with autonomous systems. Use connected data, relationships, and live context to decide who can access what, why, and under which conditions.
Permissions aren't enough - AI agent security requires context and fine-grained control
Granular access control
Authorize every agent action with precision. Fine-grained policies extend beyond roles to attributes, APIs and data interactions — ensuring agents only access what’s relevant and permitted.
Context-aware enforcement
Evaluate each request in real time using trusted data, relationships, purpose, sensitivity and consent, keeping every decision aligned with context and enterprise policy.
Dynamic policy intelligence
Adjust permissions automatically as data, agents and risk signals evolve — maintaining compliance without slowing innovation.
Transparent auditability
Record every access decision with full trusted data provenance, providing the visibility needed to prove compliance and build trust in AI-driven outcomes.
AI agents need more than rules — they need understanding. IndyKite provides the data trust and control layer to make responsible autonomy possible.
Confidently deploy AI agents in your enterprise environment
- 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.
