Proof-of-behavior enforcement for AI agents. Declare behavioral constraints, enforce at runtime, produce SHA-256 hash-chained audit trails. Supports covenants (permit/forbid/require), real-time verification, and cross-agent trust handshakes.
MCP server providing immutable audit logging, policy enforcement, and compliance reporting for AI agent workflows, enabling regulatory compliance and chain integrity verification.
Enables AI agents and MCP servers to operate under autonomous security enforcement, including pre-deployment scanning, per-call authorization, runtime monitoring, incident containment, and comprehensive auditing.
MCP server that evaluates agent actions against a Policy State Machine, emits a tamper-evident audit trail, and dispatches approved transitions to internal or federated handlers.
A continuous, out-of-band trust and reliability layer for the MCP ecosystem. It fingerprints MCP server tool definitions, detects and classifies drift (e.g., rug pulls) via a severity taxonomy, maintains a hash-chained evidence ledger, and gates CI with SARIF—while also acting as an MCP server itself so agents can check a server's safety before binding.
