machine-learning
Safeguard articles tagged "machine-learning" — guides, analysis, and best practices for software supply chain and application security.
15 articles
Open Source AI Model Security: The Emerging Threat Landscape
As open source AI models proliferate, their security implications extend far beyond traditional software vulnerabilities. Model poisoning, supply chain tampering, and unsafe deserialization create new attack surfaces.
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.
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