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.
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.
MCP server that adds a trust layer to AI agent memory, enforcing independent review and tamper-evident audit chains for any memory store. It provides tools to search, get, propose, and promote memories under governance rules.