Self-hosted AI security platform — inspect every AI request and response for secrets, PII, prompt injection, and compliance violations.
AegisGate inspects traffic between your applications and AI services (LLMs, MCP servers, A2A agents) — catching sensitive data before it leaves your environment and scanning AI responses before they reach your users.
Three products:
| Product | What | Target |
|---|---|---|
| Platform | Gateway proxy — inspects all AI traffic at the network level | Enterprises, teams |
| Rampart | Local proxy — protects AI coding tools (Copilot, Cursor, etc.) | Developers |
| Lens | Browser extension — warns before you send sensitive data to AI chat | Everyone |
Enterprise edition (private): Trust Framework (per-agent ECDSA identity + capability contracts), SIEM integration (12 platforms), premium compliance (SOC 2, HIPAA, PCI DSS), and model training pipeline.
- 3-layer detection pipeline: Regex scanner → ATLAS/compliance engine → Char CNN-BiLSTM neural network
- 176 regex patterns across 6 pillars (PII, secrets, harmful content, injection, compliance, OT/ICS)
- 31+ compliance frameworks (OWASP LLM Top 10, MITRE ATLAS, NIST CSF, ISO 27001, EU AI Act, HIPAA, PCI DSS, SOC 2, and more)
- Multi-protocol support: HTTP, MCP, A2A, ACP, ANP
- Zero dependencies — single Go binary for Platform and Rampart
- Privacy-first — Lens runs 100% on-device, zero data collection
- 🌐 Website
- 📖 Documentation
- 🔒 Security Policy
- 💬 Discussions
- 📧 Contact: [email protected]
| Repo | Description |
|---|---|
| aegisgate-platform | Core gateway proxy (Go, Apache 2.0) |
| aegisgate-rampart | Local proxy for AI coding tools (Go, Apache 2.0) |
| aegisgate-lens | Browser extension (JS, Apache 2.0) |
| aegisgate-enterprise | Enterprise components (private, commercial license) |
| aegisgate-site | Marketing website (Hugo + Netlify) |
| aegisgate-demo | Live demo environment |
| aegisgate-rampart-jetbrains | JetBrains IDE plugin |
| aegisgate-rampart-ext | VS Code / Cursor extension |
Open-source products are licensed under Apache 2.0. Trained ML model weights are separately licensed under the AegisGate Model Weight License v1.0 (non-commercial use granted, commercial use requires a license — see WEIGHTS-LICENSE.md in each repo).
Enterprise components are proprietary — see the enterprise repository for licensing inquiries.
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