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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.

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

Enables control over autonomous AI model calls, tool invocations, and agent actions. Real-time policy enforcement with cryptographic evidence is provided.

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

Screens commands and tool calls for AI agents on supported Linux hosts to enforce runtime security.

Provides a compliance layer for AI agents with cryptographic boundaries, access control, and tamper-evident audit trails.

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

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

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

Monitors AI agent actions, enforces permission boundaries, and automatically rolls back damage without code changes.

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

Security firewall for AI agents that intercepts tool calls and sends push notifications for approval decisions.

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

Checks AI agent actions against defined rules to allow, pause for review, or block them.

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

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.

Secures AI agents with verifiable identity and enforces authorization decisions for every action across LLM and MCP traffic.

Manages authorization for AI systems, controlling actions like prompt execution and API requests. It evaluates policies in under one millisecond, returning allow, deny, redact, or hold. Decisions are recorded in a…

Provides runtime security for artificial intelligence agents by screening tool results and documents.

Monitors, authorizes, and prices tool and model calls made by coding agents.

Enables developers to define and verify authority for AI agents before actions execute.

Provides generative AI agent guardrails mapped to MITRE ATLAS with deterministic tool-call boundary controls.

Independently verifies artificial intelligence agent actions against uncontrolled evidence to catch unperformed work.

Provides runtime security for AI agents by blocking prompt injection, malware, credential theft, and runaway token spend before tool calls.

Session-aware reverse proxy providing governance and security controls for artificial intelligence agents.

Provides an LLM security API to detect prompt injections, jailbreaks, harmful content, and personal data leaks.