Protect your AI applications from typosquats, vulnerabilities, and malicious code. Cryptographic verification. Policy enforcement. Zero trust.
Comprehensive security for Model Context Protocol servers
Track verified MCP servers in mcp.lock.json with SHA-512 cryptographic hashes. Immutable integrity verification.
Detect typosquats, suspicious code patterns, malicious dependencies, and known CVEs before deployment.
Verify npm packages, PyPI distributions, and Docker images. Automatic drift detection across platforms.
Validate GitHub namespaces and repository ownership. Prevent namespace hijacking and impersonation attacks.
Sub-second scans. Commands: init, add, verify, scan. Zero configuration required.
Define security policies in policy.yaml. Block high-risk packages. Enforce verification. Automate compliance.
Four commands to secure your supply chain
Real supply chain attacks targeting AI systems
Malicious packages with similar names to popular MCP servers (e.g., filesysten vs filesystem)
Attackers claiming namespaces that appear official but lack proper verification
Packages changing after initial approval, introducing malicious code post-verification
Hidden eval(), exec(), unauthorized network calls, and suspicious install scripts
Malicious dependencies masquerading as internal packages to bypass security controls
Outdated packages with publicly disclosed CVEs and exploitable security issues
Join developers protecting AI applications from supply chain attacks