Provides cryptographic identity and signing capabilities for AI agents, enabling them to create persistent identities, sign actions with private keys, and allow external systems to verify the authenticity and provenance of agent-initiated operations.
Provides tools for Chain of Consciousness provenance logging and Agent Rating Protocol reputation scoring to establish trust and accountability for AI agents. It enables tamper-evident activity tracking, integrity verification, and bilateral reputation management.
Security scanner for MCP servers. Detects prompt injection, command injection, auth bypass, and excessive permissions across tools, resources, and prompts.
Gates every AI agent tool call against your policy before it runs, then writes a hash-chained, tamper-evident record of what was decided and what happened. Anyone can verify that record offline, without your software, your systems or any key you hold.
Enables AI agents to be governed by formal Gentzen sequent calculus proof trees, with human-in-the-loop approval gates and cryptographic audit trails for consequential actions.
Enables AI agents to sign decisions with post-quantum cryptographic proofs and maintain secure audit trails for compliance. It provides tools for stamping events, verifying chain integrity, and exporting audit data across industries like finance and healthcare.
