Secure what AI
agents execute.
Runtime security for AI coding agents. Intercepts vulnerabilities, hallucinated packages, and prompt injection inline — before agents execute.
6,138 npm downloads · <30s setup · 8 AI coding agents · 4 surfaces · 1,700+ rules
Works with every AI coding agent
Security tools weren't
built for real-time.
Scanners run after code is committed. By the time they flag a threat, the agent has already executed it.
5
CVEs in Anthropic's own MCP servers
9.6
Highest CVSS score found
3
OWASP frameworks mapped
59
Detection rules for MCP threats
Same threat.
Different timing.
See how ProofLayer intercepts threats that traditional tools miss until it's too late.
Traditional Security
Email contains hidden prompt injection in HTML comment
Agent forwards sensitive emails to attacker-controlled address
CI/CD pipeline flags suspicious code hours later
Sensitive data exfiltrated before detection
ProofLayer
Email contains hidden prompt injection in HTML comment
Injection pattern detected inline before execution
Email forwarding to external domain prevented
Alert with threat details sent to operator
One codebase.
Four surfaces.
Install once from npm. Deploy as an MCP server, a CLI tool, an OpenClaw plugin, or an OpenClaw skill. Same engine everywhere — 1,700+ rules, AST + taint analysis, OWASP-mapped.
MCP Server
Real-time security inside any MCP agent
- Real-time interception
- 12 language support
- Zero config
CLI
Scan any codebase from the terminal
- CI/CD integration
- SARIF output
- Batch scanning
OpenClaw Plugin
Native security plugin for OpenClaw
- Gateway-level scanning
- Plugin health monitoring
- Kill switch
OpenClaw Skill
Deep skill security scanning for OpenClaw
- 6-layer deep analysis
- ClawHavoc malware detection
- Rug pull detection
Not a better scanner.
A different architecture.
ProofLayer doesn't compete with CI/CD tools. It operates inside the agent itself — intercepting threats at the source.
Without ProofLayer
Post-hoc detection
Threats found hours or days after code is written
CI/CD pipeline dependent
Security only runs when code is committed and pushed
Manual review required
Security alerts need human triage before action
Bolted-on integration
Separate tool, separate workflow, separate context
Blind to agent behavior
Can’t see prompt injection, hallucination, or exfiltration
With ProofLayer
Real-time interception
Threats blocked as the agent writes code, before execution
Inline with the agent
Operates inside the agent — MCP, CLI, or OpenClaw plugin
Automatic blocking
Dangerous actions prevented without human intervention
Native integration
Same workflow, same context — whether in Claude Code, Cursor, or OpenClaw
Agent-aware security
Purpose-built for prompt injection, hallucination, exfiltration
Start scanning.
One npm package. Four surfaces. Free and open source.
Free and open source. No credit card required.