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Provides an infrastructure to govern AI agents with runtime policy enforcement. It allows companies to ensure AI agents operate within defined boundaries and provides audit evidence for compliance. Enforcement occurs…

Enables local, telemetry-free verification of AI agent actions against machine-verified system specifications.

Sets permissions, budgets, approval gates, and pause controls for autonomous agents, and records execution evidence.

Provides an external pre-execution admission boundary to control automated and artificial intelligence actions.

Provides signed audit records for AI agents and API actions that can be verified offline and shared without exposing logs.

Proves that declared rules hold across agent execution paths and produces signed evidence for regulatory compliance.

Governs autonomous agent actions with policy enforcement, approval controls, and tamper-evident receipts.

Provides runtime infrastructure for autonomous AI agents, including identity, permissions, audit logging, and governance.

Secures autonomous agents by defining boundaries, signing reasoning, and screening model calls.

Enables control over AI model calls, tool invocations, and agent actions before execution. It provides real-time policy enforcement with cryptographic evidence.

Enforces policies, approvals, spend controls, and auditability across enterprise artificial intelligence applications and agents.

Open-source, hash-chained and signed audit trail for AI agent decisions.

Enforces operational rules for artificial intelligence agents and generates offline verifiable payment receipts.

Provides an AI proxy for institutional memory and agent governance, enforcing runtime security policies and scoping access.

Blocks unsafe AI agent actions before execution using versioned policy enforcement and verifiable chain-of-custody proofs.

Provides a financial control plane with identity, spending policies, deterministic authorization, and an auditable ledger for AI agents.

Secures AI agents by mapping tool usage, minting capability tokens, and enforcing runtime policies.

Provides change control for artificial intelligence agents by requiring human approval before irreversible actions occur.

Authorizes AI agent actions, automated asset transfers, and privileged machine requests with defined limits and verifiable proof.

Secures autonomous AI agents with execution-layer simulation, cryptographic audit ledgers, and signed verdicts.

Provides runtime authority and shared application budgets for autonomous agents.

Verifies, governs, and audits AI agent actions before production data changes.

Provides verifiable audit-grade memory with proof trees for artificial intelligence agents.

Provides a runtime boundary for AI agents to enforce access limits, inspect actions, and export signed evidence.