Easily Secure Your AI & ML Systems
Protect AI performs security scans on your ML lifecycle and helps you deliver secure and compliant ML models and AI applications.
Hacking AI: System and Cloud Takeover via MLflow Exploit
Mar 24, 2023 • Dan McInerney • 8 min read
AI Zero Day Found in MLflow
Mar 24, 2023 • Daryan Dehghanpisheh • 6 min read
Hacking AI: Steal Models from MLflow, No Exploit Needed
Mar 24, 2023 • Dan McInerney • 5 min read
NB Defense Now in Public Beta
Feb 28, 2023 • Ibrahim Gabr • 5 min read
Threat Visibility
AI and ML System Threat Surface Visualization and Context Mapping
Security Testing
AI and ML Security Tests Across Your ML Assets, Tooling, and Processes
Remediation
Actions to Remediate AI and ML Security Risks
Products to Secure Your AI and ML Systems
NB Defense
Industry-First Security Tool for ML Notebooks, That's Free To Use
Jupyter Notebooks are a powerful tool for data scientists to explore data, create models, evaluate experiments, and share results with their peers. The notebooks contain live code, visualizations, data, and text. They introduce security risks and current cybersecurity solutions do not work to evaluate them. NB Defense is free to use, it quickly scans a single notebook or a repository of notebooks for common security issues, identifies problems, and guides your remediation.
Innovate, Model, & Collaborate More Securely
Secure your notebooks and adopt MLSecOps best practices by checking your notebooks and their environment for critical security issues. Protect AI's NB Defense keeps you productive and collaborative while helping reduce security risks, scanning for issues and surfacing insights inside Jupyter Lab.
Secure Your ML Stack, End to End With Context & Confidence
Scan and remediate all elements of your ML software supply chain, in an easy, automated fashion. Protect AI tools integrate into your existing MLOps frameworks and procedures, providing everyone who relies on your systems with a more secure AI environment.
Stay Focused on Security, not Distracted by ML Nuances.
Comprehending the unique risks of AI systems and ML supply chains can be daunting. Protect AI tools give you clarity and context in an environment and syntax familiar to you, making sure you can communicate effectively with your AI and ML development teams. Shortening the time not only to discover issues, but to mitigate them as well.
MLSecOps Community
MLSecOps is a new and much needed practice in application security that involves introducing security earlier in the ML model development life cycle. Join our Slack community today and help shape this new frontier in machine learning and cybersecurity.