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! ⚙️🛡️

A reading list for MLSecOps!

OWASP Machine Learning Security Top 10 Project

LLM | Security | Operations in one github repo with good links and pictures.

An interactive CLI application for interacting with authenticated Jupyter instances.

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.

Red Team AI Benchmark: Evaluating Uncensored LLMs for Offensive Security

An open-source guide to Python for AI and Machine Learning

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.

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

Minimal reproducible PoC of 3 ML attacks (adversarial, extraction, membership inference) on a credit scoring model. Includes pipeline, visualizations, and defenses

5th year workshop about DevSecMLOps

MLSecOps security pipeline tool - automated scanning, policy enforcement, compliance mapping, and ML validation for CI/CD

AI Operations Security Maturity Model and toolkit to secure AI/ML systems across 11 domains and 5 levels—aligned to NIST AI RMF, SAIF, OWASP LLM Top 10, MITRE ATLAS. Practical AI security maturity model with assessment questions, CI/CD policy gates, LLM/RAG controls, infra/accelerator hardening, monitoring, IR, and red teaming.

🧪 Evaluate uncensored LLMs for offensive security with targeted questions and clear criteria to ensure effectiveness in real-world penetration testing.

No description provided.

🛠️ Build a collaborative framework for pricing strategies using AI, enhancing decision-making through real-time data analysis and human insight.

Orion Innovation - 12 weeks DevOps, MLOps KT

Bert models interpretation and security checker

BİTİRME PROJESİ (TR) CNN Tabanlı Yapay Zekâ Sistemlerinde Robustness Spektrumunun Haritalandırılması: FGSM ve PGD Karşılaştırmalı Çalışması ile Nicel Güvenilirlik Analiz Platformu Geliştirilmesi

AI Security Maturity Model and assessment toolkit—secure models, data, LLM/RAG, infra, monitoring, and IR across 11 domains and 5 levels, aligned to NIST AI RMF, SAIF, and OWASP LLM Top 10.

🔍 Bypass GigaChat's content filters with this research on contextual camouflage, revealing security flaws in AI safety measures.