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#

secure-ai

Here are 16 public repositories matching this topic...

This project integrates Hyperledger Fabric with machine learning to enhance transparency and trust in data-driven workflows. It outlines a blockchain-based strategy for data traceability, model auditability, and secure ML deployment across consortium networks.

  • Updated May 29, 2025
  • Shell

airlock is a cryptographic handshake protocol for verifying AI model identity at runtime. It enables real-time attestation of model provenance, environment integrity, and agent authenticity - without relying on vendor trust or static manifests.

  • Updated Nov 28, 2025

IntentusNet — Language-Agnostic AI Agent Runtime & Orchestration Framework A high-performance, secure, multi-agent runtime that supports intent routing, fallback, workflow orchestration, and optional EMCL encryption. Designed for scalable AI systems, distributed automation, and MCP-compatible agent workflows.

  • Updated Dec 6, 2025

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