·AI Security
Module 11 Lesson 2: Hacking ML Libraries
Vulnerabilities in the engine. Learn about common CVEs and security flaws in core machine learning frameworks like PyTorch, TensorFlow, and NumPy.
vulnerabilities
4 articles
·AI Security
Module 17 Lesson 1: Orchestrator Risks
The glue that breaks. Learn how framework orchestrators like LangChain and LlamaIndex introduce new security vulnerabilities through complex chaining and data handling.
·AI Security
Module 17 Lesson 5: Framework-Specific Exploits
Poking the glue. Learn how to identify and test for vulnerabilities unique to LangChain, LlamaIndex, and other AI orchestration frameworks.
·AI Security
Module 3 Lesson 3: AI-Specific Threat Categories
Meet the new class of vulnerabilities. Explore unique AI threats recognized by OWASP and MITRE ATLAS, including Membership Inference and Model Extraction.