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audit-logging

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agentlock

An adversarially benchmarked reference implementation for pre-action AI agent authorization. Provenance-based gating for LLM agent tool calls: deny-by-default permissions, parameter lineage, signed receipts, audit logging.

  • Updated Aug 12, 2026
  • Python

Postgres-native application infrastructure: one SQL install replaces the separate services you would otherwise run for identity, configuration, metering, coordination, and messaging.

  • Updated Aug 12, 2026
  • Python

Security middleware for AI Agents. Intercepts shell commands before execution using a multi-layer pipeline: binary allowlist, regex patterns, deterministic intent coherence mapping, and LLM semantic check as last resort.

  • Updated Jun 29, 2026
  • Python

Production-structured fraud risk operations platform with FastAPI, Streamlit, policy-driven decisions, audit logging, batch jobs, and monitoring hooks.

  • Updated Aug 18, 2026
  • Python

Multi-agent, policy-driven AI system for processing sensitive enterprise documents with extraction, analysis, verification, deterministic orchestration, and full audit logging. Designed for regulated environments (banking, finance, insurance).

  • Updated Apr 13, 2026
  • Python

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