Legit Security

Legit Security — Technical Use Cases

1. Securing AI-Generated Code at the Endpoint

Use VibeGuard to enforce security policies on code produced by AI assistants (Cursor, GitHub Copilot, Claude) and MCP servers before it enters the codebase. Prevents insecure patterns, secrets, and supply chain risks from being introduced at the point of generation.

2. Agentic Vulnerability Remediation

Deploy the agentic AppSec engine to autonomously triage, prioritize, and remediate vulnerabilities across the SDLC — achieving up to 10x faster remediation compared to manual workflows.

3. Unified AppSec Posture Management

Aggregate findings from SAST tools, SCA tools, cloud security, API security, identity management, bug bounty programs, and artifact registries into a single normalized risk view. Eliminate tool sprawl and reduce alert fatigue across the AppSec toolchain.

4. AI Model & MCP Server Visibility

Inventory and monitor all AI models, code assistants, and MCP servers active in the development environment to maintain full visibility into AI-introduced risk vectors.

5. Secrets Detection & Prevention

Continuously scan repositories, CI/CD pipelines, and artifact registries for exposed secrets, with automated prevention workflows to block leakage.

6. Software Supply Chain Security

Map and assess risk across the software supply chain, with integration into artifact registries and CI/CD pipelines for continuous monitoring.

7. Compliance Automation & SBOM Generation

Automate the generation of SBOMs and compliance documentation, integrating with ticketing systems and identity management for audit-ready reporting.