Enables local-first, fail-closed security auditing of AI coding outputs by detecting Korean PII, secrets, configuration risks, and MCP-native threats, while mediating runtime events and gating releases with actionable verdicts and next steps.
Enables MCP-compatible AI agents to scan code for leaked secrets, copyleft licenses, unprotected routes, missing privacy policies, and risky card handling before committing or shipping.
Offline MCP server that checks and scans your own AI prompts and outputs against a local compliance rule corpus. Returns rule ID, severity, citation, and remediation per finding — no API key, Apache 2.0.
Enables AI coding tools to scan projects for security vulnerabilities, hardcoded secrets, injection flaws, and privacy violations with 699 rules and 76 MCP tools, all running locally with zero telemetry.
Local-first AI compliance scanner via Model Context Protocol, scanning codebases for violations of DPDPA 2023, RBI FREE-AI, SEBI AI/ML, and the EU AI Act.
Enables local security scanning and compliance gap analysis for code and text, detecting secrets, PII, and OWASP vulnerabilities, and assessing readiness across major frameworks like NCA, ISO 27001, NIST CSF, and SOC 2.
