SecPilot scans AI-built applications, MCP agents, dependencies, secrets, authentication flows, and deployment risks before they reach production.
| Severity | Module | Finding | File | Status |
|---|---|---|---|---|
| High | Auth | Missing server-side role validation | /api/admin/route.ts | Open |
| Medium | Dependency | Vulnerable package detected | package.json | Review |
| High | MCP | Tool has broad file-system access | mcp.config.json | Open |
| Low | Config | Missing security headers | next.config.js | Fix Ready |
AI-generated code often ships with security flaws that traditional linters miss — broken input validation, insecure API patterns, and logic errors.
API keys, tokens, and private credentials end up committed to repositories and exposed in environment files.
Authentication flows generated by AI tools may lack server-side validation, proper session management, or role-based access controls.
AI agents and MCP tools may request broad file-system, network, or execution permissions beyond what the task requires.
Dependencies introduced by AI coding assistants can include vulnerable or unmaintained packages with known CVEs.
Fast launches prioritize speed. Security checks, deployment hardening, and production readiness get deferred or forgotten.
Import your GitHub repository, upload a project folder, or scan local code with SecPilot Guard.
SecPilot maps secrets, dependencies, APIs, auth flows, environment files, MCP tools, and deployment configuration.
Every finding includes severity, explanation, affected file, suggested remediation, and AI-ready fix prompt.
Export a security report, CI result, SARIF output, launch checklist, and hardening plan.
Find exposed API keys, private keys, tokens, credentials, and environment leaks across your codebase.
Detect vulnerable packages, outdated libraries, suspicious dependencies, and supply-chain risks.
Analyze broken authentication flows, weak session handling, unsafe role checks, and privilege escalation paths.
Review MCP servers, tools, file access, network permissions, and agent execution risks.
Identify unsafe AI-generated patterns, insecure routes, weak validation, and risky backend logic.
Scan wallet connection logic, token approval flows, RPC exposure, and frontend Web3 attack surfaces.
Check headers, CORS, environment config, public files, exposed routes, and production readiness.
Generate clear fix instructions to paste into Cursor, Claude, Codex, or any AI coding agent.
SecPilot validates MCP servers and AI tool permissions so agents cannot overreach, leak sensitive context, or execute unsafe operations.
Pre-audit risk scanning for Web3 interfaces and integrations. SecPilot helps builders detect frontend and integration risks before launching crypto-native products.
Get scanning in under 2 minutes
Install and configure the CLI
Scan repos directly from GitHub
Validate MCP tool permissions
Pre-audit risk scanning
Integrate into your pipeline
Markdown, JSON, SARIF output
Configure fail conditions
AI-ready remediation prompts
Programmatic access to scans
AI can generate code in seconds. SecPilot helps make sure that code is ready for the real world.