📌 This post is now archived. For the latest updates on SENTINEL, see the new consolidated article:
SENTINEL Platform — Complete AI Security Toolkit (2026 Update Log)
SENTINEL is the only open-source AI security platform with a production-grade Go gateway. While competitors offer Python-only demos with 50-200ms latency, we deliver:
- ⚡ <10ms latency (Go + Python hybrid)
- 🛡️ 170 detection engines (49 are unique research inventions)
- 🧬 Prior art protection — no one can patent our innovations
- 🐉 39K+ attack payloads for red teaming
DmitrL-dev
/
AISecurity
AI Security Platform: Defense (61 Rust engines + Micro-Model Swarm) + Offense (39K+ payloads)
🚀 SYNTREX
first full AI SOC PLATFORM — LIVE NOW
🔐 Production AI Security • <1ms latency • 66 Rust engines • Free tier 1K requests
▼ Что нового в SYNTREX v1.0 (кликните для деталей)
• ✅ 66 детектор-движок в production
• ✅ 810+ сигнатур атак на ИИ
• ✅ 1101 тест, 98.5% detection rate
• ✅ 39K+ вредоносных промптов в базе
• ✅ <1ms latency на 66 Rust-движках
S E N T I N E L
Your AI Is Under Attack. Your Classifier Can't See It.
Deterministic, mathematically-grounded AI security. Not another ML model hoping to catch what ML models miss.
🔴 We Broke Alibaba's Flagship AI Model. Is Yours Next?
QWEN-2026-001 — 5 critical safety bypass vectors discovered in Qwen 3.5-Plus, Alibaba's most advanced model.
| Model | Qwen 3.5-Plus (February 2026) — Alibaba's flagship |
| Safety Stack | Qwen3Guard + |
🤔 The Problem
Current AI security solutions are either:
- Enterprise-only (Cisco AI Defense, Robust Intelligence)
- Python demos (50-200ms latency, no DDoS protection)
- Incomplete (focus on one attack type)
None offer a production-ready gateway with sub-10ms latency.
💡 The Solution: SENTINEL
Production Gateway (Industry First)
Client → [Go Gateway] → gRPC → [Python Brain] → 170 Engines
↓ ↓
PoW + Auth Strange Math™
| Feature | SENTINEL | Others |
|---|---|---|
| Gateway Language | Go (Fiber) | Python only |
| Latency | <10ms | 50-200ms |
| Anti-DDoS | PoW Layer | ❌ None |
| Cost Control | Compute Guardian | ❌ None |
170 Detection Engines
| Category | Count | Highlights |
|---|---|---|
| Strange Math™ | 20 | Sheaf Theory, Hyperbolic Geometry, TDA |
| Bio-Intelligence™ | 8 | AIS, Echo State Networks, Swarm |
| Agentic Defense™ | 15 | Memory Shield, Tool Guardian, RAG |
| Protocol Security | 5 | MCP, A2A, NHI Identity |
| Deep Learning | 9 | Activation Steering, Hidden States |
| + 13 more categories | 113 | Classic, VLM, Proactive, etc. |
🧬 49 Unique Technologies (Defensive Publication)
By open-sourcing first, we created prior art that prevents patents:
Strange Math™
- Sheaf Coherence — Multi-turn attack detection via category theory
- Hyperbolic Geometry — Privilege escalation in Poincaré space
- TDA Enhanced — Topological fingerprinting
Bio-Intelligence™
- AIS (Clonal Selection) — Immune system-inspired detection
- Swarm Defense — Distributed multi-agent protection
Agentic Defense™
- Agent Memory Shield — Short/long-term memory protection
- Chain-of-Thought Guardian — Reasoning chain security
Full list: 16-research-inventions.md
🐉 Strike v3.0 — AI Red Team
Test your AI before attackers do:
- 🎯 39,000+ attack payloads
- 🐲 HYDRA Engine — 9-headed parallel attacks
- 🤖 AI Attack Planner — Gemini-powered strategies
- 📊 Bilingual reports (EN/RU)
📊 By The Numbers
| Metric | Value |
|---|---|
| Detection Engines | 170 |
| Research Inventions | 49 |
| Unit Tests | 936+ |
| Lines of Code | ~65,000 |
| Attack Payloads | 39,000+ |
| OWASP Coverage | 100% (LLM + ASI) |
| Recall | 85.1% |
🚀 Quick Start
# One-liner install
curl -sSL https://raw.githubusercontent.com/DmitrL-dev/AISecurity/main/install.sh | bash
# Or with Docker
docker-compose up -d
Try in Colab: SENTINEL Strike Demo
🎄 Christmas 2025: Full Open Source
All 170 engines. All Strange Math. All innovations.
No restrictions. No enterprise tiers. This belongs to the world.
🔗 Links
- GitHub: DmitrL-dev/AISecurity
- Docs: dmitrl-dev.github.io/AISecurity
- Dataset: HuggingFace 51K samples
📞 Contact
Dmitry Labintsev
Open to: partnerships, sponsorship, hiring, acquisition.
If you find this useful, please ⭐ the repo!

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