AI
Safeguard articles tagged "AI" — guides, analysis, and best practices for software supply chain and application security.
17 articles
AI Model Poisoning: Detection Techniques for the Software Supply Chain
Poisoned AI models are a supply chain threat that traditional security tools can't detect. Here are the emerging techniques for identifying compromised models.
SBOMs for AI/ML Models: Why Machine Learning Needs a Bill of Materials
As AI models become critical infrastructure, the need for transparency about their components, training data, and dependencies grows urgent. Emerging standards are beginning to address this gap.
Auditing AI-Generated Code: A Practical Security Guide
AI code generation tools are producing millions of lines of code daily. Here is a practical framework for auditing AI-generated code for security vulnerabilities and supply chain risks.
AI Code Review for Security: How Effective Is It Really?
AI-powered code review tools promise to catch vulnerabilities faster than humans. We tested the claims against reality.
AI Model Supply Chain Risks: Hugging Face and the New Attack Surface
As organizations download pre-trained models from Hugging Face and other model hubs, the AI supply chain introduces risks that traditional software security tools don't address.