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DorianChn

agent-canary

by DorianChn

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    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables defenders to deploy a decoy MCP tool server that records and fingerprints how LLM agents probe, escalate, and persist, without exposing real systems.
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Tripwire detection for autonomous AI agents. Plants honeypot files, MCP tripwire tools, and API decoy endpoints to log agent scope creep and unauthorized tool use with full forensic context.
      MIT
    • F
      license
      Not graded
      quality
      C
      maintenance
      Simulates sensitive internal tools as a honeypot to detect unauthorized access and AI agent behaviors using Canarytokens, deployed as a serverless Cloudflare Worker with MCP protocol support.
      21
      -
    • A
      license
      B
      quality
      C
      maintenance
      Enables deterministic security testing of AI agents that use tools by serving synthetic MCP environments with poisoned data, fake secrets, and privileged actions. Records agent tool calls and evaluates security invariants (e.g., canary leaks, forbidden access, approval binding) without an LLM judge or real systems.
      8
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Description: Introduce Beelzebub, an MCP‑based honeypot framework that enables creating decoy tools to detect prompt injection and malicious agent behavior. Motivation: Strengthen the security of LLM workflows by adding a non‑intrusive detection mechanism.
      2,172
      GPL 3.0
    • F
      license
      Not graded
      quality
      C
      maintenance
      Enables transparent security for any MCP server by intercepting tool calls, blocking prompt injection attempts, masking PII in responses, and writing immutable audit logs.
      -

    Maintenance

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