IndyKite

Founded 2021

Control access and secure enterprise data for autonomous AI agents in real time

You can use IndyKite to manage fine-grained authorization, secure data access, and control autonomous AI agents at runtime. The system evaluates live enterprise context like user identity, data freshness, provenance, and compliance rules directly during queries and actions. It gives teams visibility into unstructured data, enforces security policies across connected systems, and traces every automated decision for audit requirements. By connecting disparate data sources, it lets organizations safely deploy production AI agents and share sensitive business records with partners without compromising security controls.

What IndyKite does

Define fine-grained access policies for AI agentsInspect access logs and query decisions in real timeConnect enterprise identity systems to runtime data storesVerify user consent and data sensitivity before data accessAudit unstructured data usage across enterprise applicationsGenerate compliance audit reports for AI agent operationsEvaluate access decisions at runtime using live signalsInspect and audit unstructured data sourcesEnforce fine-grained authorization rules across autonomous AI agentsTrack data provenance, freshness, and sensitivity for every queryExternalize access control logic from application codeProvide complete audit trails for automated decision-makingSafely share sensitive data across external partner ecosystems

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