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AgentGate – Authorization layer for AI agents

AgentGate is a Policy Decision Point (PDP) that sits between AI agents and their tools, evaluating every action against identity, scope, purpose, and real-time behavior before execution. It addresses security gaps left by traditional OAuth and RBAC in autonomous agent scenarios, catching out-of-scope reads, unauthorized actions, data exfiltration via velocity spikes, and prompt injection attacks. With trust scoring across four dimensions and support for multi-agent delegation, natural language policies, and human-in-the-loop approval, AgentGate provides a comprehensive authorization layer for AI agent systems.

SourceHacker News AIAuthor: ElamOlame
AgentGate – Authorization layer for AI agents
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Summary only

Under the source content permission, this page provides an editorial summary, key points, and a link to the original article.

Key points and analysis

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Key points

  • AgentGate acts as a PDP intercepting agent tool calls to enforce fine-grained authorization.
  • It checks identity, scope, purpose alignment via embeddings, and behavioral velocity with trust scoring.
  • Supports multi-agent delegation with scope attenuation, natural language policies parsed by Claude, and human-in-the-loop for escalated actions.
  • Integrates with LangChain, LangGraph, CrewAI, Autogen via SDK and decorators.

Highlights and analysis are generated automatically and may contain errors. Check the original source.