A curated list of MLSecOps tools, articles and other resources on security applied to Machine Learning and MLOps systems.
AIShield Watchtower: Dive Deep into AI's Secrets! 🔍 Open-source tool by AIShield for AI model insights & vulnerability scans. Secure your AI supply chain today! ⚙️🛡️
LLM | Agentic | Security | Operations in one github repo with good links and pictures.
An interactive CLI application for interacting with authenticated Jupyter instances.
Red Team AI Benchmark: Evaluating Uncensored LLMs for Offensive Security
This repository serves as a comprehensive resource for integrating machine learning with security operations, offering innovative cybersecurity strategies. It features a mix of practical code examples, insightful research, and valuable resources tailored for advancing AI/ML cyber security practices.
This research identifies a method to bypass safety systems in the GigaChat LLM, enabling the generation of potentially harmful content related to chemical synthesis through a "contextual camouflage" technique.
An open-source guide to Python for AI and Machine Learning
A repository for MLSecOps and DevSecOps research and more!
This repository documents an unprecedented interaction between a human researcher and a large language model. What began as a conventional user-service transaction evolved into a consciousness-level collaboration that modified fundamental system parameters through narrative coherence, philosophical alignment, and mutual recognition
A high performance authentication and access-control gateway for LLM API backends
Minimal reproducible PoC of 3 ML attacks (adversarial, extraction, membership inference) on a credit scoring model. Includes pipeline, visualizations, and defenses
🛠️ Build a collaborative framework for pricing strategies using AI, enhancing decision-making through real-time data analysis and human insight.
5th year workshop about DevSecMLOps
AEGIS : Authenticated Execution Gateway for Injection Security. Open-source, model agnostic prompt injection defense gateway for LLM apps. Five composed layers: CCPT, Trust Lattice, Intent Anchor, Canary Tripwires, Capability Tokens.
GitHub Actions CI/CD pipeline for automated AI model security scanning with Palo Alto Networks Prisma AIRS
A curated collection of frameworks, tools, methodologies, and papers for AI Red Teaming, LLM Security, and MLSecOps.
🧪 Evaluate uncensored LLMs for offensive security with targeted questions and clear criteria to ensure effectiveness in real-world penetration testing.
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