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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…

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

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

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

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

Checks supported coding-agent tool calls locally before execution.

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

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

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…

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

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

A local security gateway for coding agents that blocks prompt injection, redacts PII, inspects traffic, and enforces policy.

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

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

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

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

Secures LLM agents against prompt injection by scanning for vulnerabilities and blocking unsafe tool calls.

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

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

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

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

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

Blocks prompt attacks, scores agent trajectories, and traces execution steps for artificial intelligence agents.

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

Provides a live feed of reads, writes, and connections for AI coding agents on Linux and macOS.

Runs, secures, and manages tools for artificial intelligence agents with permissions, isolation, and observability.