Enterprise DLP platform for AI coding agents — prevents secrets, PII, and credentials from leaking through Copilot, Claude Code, Cursor, and any LLM. Breach intelligence, compliance monitoring, and response — all built in. Available on github.com/secure-mind-live.
Breach intelligence, compliance monitoring, taint tracking, and response — all integrated into a single deployable platform. Available on GitHub.
4-layer prompt analysis with 10 decoding sublayers. Blocks .env, credentials, SSH keys. 20+ exec patterns. Confidence-scored PII validation (Luhn, SSA, entropy).
Real-time breach classification — 13 breach types, configurable taxonomy. DLP blocks auto-emit breach events. SHA-256 immutable audit trail.
7-role RBAC, smart redaction (reversible tokenization — AI never sees real data), enterprise privacy policies with per-team overrides and scheduled mode changes.
Deploy across every surface — VS Code extension, Chrome extension (12 AI platforms), CLI installer, pre-commit hooks, GitHub Action, Docker compose.
as-init auto-detects 9 AI toolsCopilot, Claude Code, and Cursor run on developer machines with full access to .env files, API keys, SSH keys, customer PII, and source code. No guardrails. No audit trail. No containment.
AI assistants can read .env, .pem, id_rsa, and credentials files — then include them in completions or send them to cloud APIs without any warning.
Shell commands like curl -d @secrets.json, printenv, or encoded pipelines can leak data silently. Traditional DLP doesn't catch AI-generated commands.
Unauthorized AI tools running without security team visibility. PCI-DSS, SOX, HIPAA all require controls over sensitive data access — AI agents bypass every one of them.
All 37 components share the same DLP policies, audit logs, and compliance rules — regardless of which AI tool is in use.
Each product installs independently. Use one or all five — they work together automatically.
Local-first. Zero telemetry. Zero cloud dependencies. Enterprise features for compliance teams.