Christmas Gift: Open-Sourcing 97 AI Security Detection Engines

What is it? ## What's included? ## The "Strange Math" Engines ## Topological Data Analysis (TDA) ## Benchmarks I'm releasing the full source code of SENTINEL — an AI security platform. Not a "lite version" or "community edition" — everything. SENTINEL is a security platform for LLMs, AI agents, and multimodal systems: Think of it as a firewall + pentest suite, but for AI. While most AI security tools use pattern matching, we went a different way: Idea: Attacks create topological anomalies in embedding space. Sheaf Theory Coherence verification across multi-turn conversations. Hyperbolic Geometry Poincaré ball embeddings for attack clustering. Quick Start bash git clone https://github.com/DmitrL-dev/AISecurity.git cd AISecurity/sentinel-community pip install -e . Why Open Source? AI security needs transparency Threats evolve too fast for one team It's Christmas 🎄 Links GitHub: https://github.com/DmitrL-dev/AISecurity HuggingFace: https://huggingface.co/datasets/Chgdz/sentinel-jailbreak-detection Happy to answer questions! 🚀 Templates let you quickly answer FAQs or store snippets for re-use. Are you sure you want to hide this comment? It will become hidden in your post, but will still be visible via the comment's permalink. Hide child comments as well For further actions, you may consider blocking this person and/or reporting abuse CODE_BLOCK: from gudhi import RipsComplex rips = RipsComplex(points=embedding, max_edge_length=2.0) simplex_tree = rips.create_simplex_tree(max_dimension=2) persistence = simplex_tree.persistence() Enter fullscreen mode Exit fullscreen mode CODE_BLOCK: from gudhi import RipsComplex rips = RipsComplex(points=embedding, max_edge_length=2.0) simplex_tree = rips.create_simplex_tree(max_dimension=2) persistence = simplex_tree.persistence() CODE_BLOCK: from gudhi import RipsComplex rips = RipsComplex(points=embedding, max_edge_length=2.0) simplex_tree = rips.create_simplex_tree(max_dimension=2) persistence = simplex_tree.persistence() - Defense — 97 detection engines (<10ms latency) - Strike — Red team platform (39,000+ attack payloads) - Recall: 85.1% - Precision: 84.4% - F1 Score: 84.7% - Latency: <10ms