ai-agent

Secure AI with awesome-MLSecOps

Name: Secure AI with awesome-MLSecOps
Author: RiccardoBiosas

Get curated MLSecOps tools for founders securing machine learning and AI systems, with resources like adversarial ML defense and MLOps pipeline security.

439 stars88 forksQuality 9/10Updated 7/19/2026100% free · open source

What it does

Awesome-MLSecOps provides a curated list of tools and resources for securing machine learning and AI systems, covering areas such as adversarial ML defense, MLOps pipeline security, and supply-chain protection.

Install / run

Since awesome-MLSecOps is a GitHub repository, the first step is to clone it using the command 'git clone https://github.com/RiccardoBiosas/awesome-MLSecOps.git'

When to use it

•When you need to protect your machine learning models from adversarial attacks
•When you want to secure your MLOps pipeline from vulnerabilities and threats
•When you are looking for resources to improve the overall security of your AI systems

Quick start

1 Clone the repository: 'git clone https://github.com/RiccardoBiosas/awesome-MLSecOps.git'
2Explore the curated list of tools and resources in the 'README.md' file
3Check the 'adversarial-ml-defense' section for tools to protect your models from attacks
4Visit the 'MLOps-pipeline-security' section for resources on securing your MLOps pipeline
5Browse the 'supply-chain-protection' section for tools to protect your supply chain

Ready-to-paste prompt

Explore the 'adversarial-ml-defense' section by opening the 'README.md' file and searching for 'adversarial-ml-defense' to find relevant tools and resources

Heads up: One specific pitfall is that some of the tools and resources listed in the repository may require specific dependencies or runtime versions to be installed, so make sure to check the requirements for each tool before using it

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