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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…

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

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

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…

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

Blocks prompt injection, jailbreaks, and personally identifiable information leaks for artificial intelligence models.

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

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

Blocks data leaks, prompt injection, and off-policy outputs for artificial intelligence applications with real-time alerts.

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

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

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

Scans recorded AI coding agent sessions for exposed credentials and guards supported actions against prompt injection.

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

Monitors AI coding tools to detect leaked secrets, PII, and confidential data without blocking engineers or reading prompts.

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

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

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

Automated security testing for chatbots, agents, and APIs to detect prompt injection, data leaks, and unsafe behavior.

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

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

Behavioral sandbox to extract intent from and detect prompt injection in large language model inputs.

Enforces granular per-agent permissions and logs requests for AI agent MCP integrations.

Scans OpenClaw skills for malicious code, data exfiltration, and prompt injection for developers.

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

Encrypts environment file secrets and replaces them with sandbox values for AI coding agents.

Checks supported coding-agent tool calls locally before execution.

Detects and tracks AI browser agents in real-time, protecting context from automated agents. It provides visibility and controls for AI agents on endpoints. The system tracks coding agent actions regarding files,…