Framework-agnostic cryptographic provenance and chain of custody for AI, software, agents, and automated systems — record what happened, preserve the evidence, and verify it independently.
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Updated
Sep 29, 2026 - Python
Framework-agnostic cryptographic provenance and chain of custody for AI, software, agents, and automated systems — record what happened, preserve the evidence, and verify it independently.
Zero-trust API firewall and security integrity layer for autonomous AI agents & Model Context Protocol (MCP) tool execution. Secure, TOCTOU-proof, fail-closed.
A deterministic consensus substrate for axisymmetric displacement projection.
Tamper-evident audit logging platform with cryptographic integrity verification
Verifiable audit-evidence packs for privacy-preserving Canton ledgers
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