model-security
Safeguard articles tagged "model-security" — guides, analysis, and best practices for software supply chain and application security.
17 articles
Embedding Model Supply Chain Risks
Embedding models are the silent dependency under every RAG system. We cover poisoning, deprecation, and provenance gaps that break retrieval in production.
Supply Chain Attacks Targeting AI/ML Pipelines
AI and ML pipelines introduce unique supply chain risks -- from poisoned training data to compromised model registries. Here is what attackers are targeting and how to defend.
AI Supply Chain Attacks: Emerging Threats in Model and Data Pipelines
As organizations adopt AI at scale, the AI/ML supply chain is becoming a new attack surface. From poisoned models to compromised training data, the threats are real and growing.
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 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.