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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.

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

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

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

Provides secure runtime environments for AI agents using Firecracker sandboxes and built-in guardrails. It includes features like PII redaction, prompt injection defense, code security, toxicity scanning, and network…

Sandboxes AI coding agents in isolated terminals to protect API keys, monitor tasks, and share projects securely.

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

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

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

Provides a secure vault for AI agents to access data with permission. Data is stored in a zero-knowledge vault, and redacted after each session.

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

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

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

Provides an open-source reliability runtime with cost, loop, and time budgets for AI agents.

Provides a lightweight sandbox runtime for AI agents. It embeds into local processes, creating a secure bash environment without requiring VMs or remote infrastructure. bVisor is being developed by Butter.

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

Provides remote approvals for unattended AI agents with a signed record of every decision.

Provides an isolated operating system for AI agents. It offers computer, sandbox, and runner capabilities for Linux, Windows, macOS, iOS, and Android environments, enabling snapshot restoration and CI job integration.

Detects, controls, and enforces AI usage policies across enterprise workflows for engineering organizations.

Provides visibility and controls for securing agents in production environments. The platform helps manage agent access and permissions, ensuring least privilege is applied. It aids companies in managing agent adoption…

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

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

Provides a macOS sandbox to restrict AI coding agents' access to system resources, including files and networks. This protects against potential risks associated with agent access to sensitive data and commands.