Tools

Security-hardened Chrome automation with post-quantum encryption (ML-KEM-768 + ChaCha20-Poly1305), secure credential vault, memory scrubbing, and audit logging. 22 tools for browser automation and secure logins.

Access the OSV (Open Source Vulnerabilities) database for vulnerability information. Query vulnerabilities by package version or commit, batch query multiple packages, and get detailed vulnerability information by ID.

MCP server to access Intruder, helping you identify, understand, and fix security vulnerabilities in your infrastructure.

AWS Single Sign-On (SSO) integration enabling AI systems to securely interact with AWS resources by initiating SSO login, listing accounts/roles, and executing AWS CLI commands using temporary credentials.

Policy-based governance for AI agent tool calls. YAML policies, approval gates, risk assessment, and audit logging. Cross-platform: LangChain, OpenAI, Anthropic, MCP.

Real-time security framework for MCP servers that detects and blocks malicious AI agent behavior by analyzing tool call patterns and intent across multiple threat detection engines.

Share encrypted, self-destructing secrets from your AI agent. Zero-knowledge E2E encryption. Agent-blind input sources (env:, file:, dotenv:) keep secrets out of LLM context.

Security-focused MCP server that provides safety guidelines and content analysis for AI agents.

Comprehensive Linux server security audit with 89 CIS Benchmark controls, NIST 800-53, and PCI-DSS compliance checks. Real-time monitoring with anomaly detection across 23 analyzers: firewall, SSH, fail2ban, Docker, CVE, rootkit, SSL/TLS, filesystem, network, and more.