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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…

Approves website actions for AI agents from a mobile device, reviews activity logs, and revokes access.

Manages AI agent access to SaaS tools with human approval, encrypted credentials, and audit logging.

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

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…

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

Provides authorization and control for AI agent payments using single-use virtual cards.

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

Authorizes AI agent tool calls and payloads against policies and approvals before execution.

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

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

Provides temporary, session-scoped machine access and audit logs for artificial intelligence agents.

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

Provides end-to-end access control for Zero Trust environments and AI systems. It enables fine-grained contextual authorization across applications, gateways, workloads, and AI agents.

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

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

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

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

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

Provides runtime security and sandboxing for AI agents to dynamically adjust permissions as tasks change.

Provides an authorization infrastructure as a service for developers. It supports fine-grained access control using RBAC, ABAC, and ReBAC. Features include policy-as-code, a no-code editor, and local PDPs. It also…

Provides authentication and authorization for agents, including delegated identity and scoped permissions. It includes features for user management, tool calling, and audit capabilities. Supports deployment in private…