ai-supply-chain
Safeguard articles tagged "ai-supply-chain" — guides, analysis, and best practices for software supply chain and application security.
19 articles
2,130 AI-Related CVEs and Counting: The Surge Is Structural, Not a Blip
AI-related CVEs rose 34.6% year over year and more than 200% since 2023. The interesting question is what kind of vulnerabilities they are — because most of them are not model flaws at all.
CoSAI Releases Model Signing and Incident Response Frameworks
The Coalition for Secure AI published two operational frameworks in November 2025: Signing ML Artifacts and AI Incident Response. We unpack what each contains and how to adopt them.
Agent Goal Hijacking: Redirecting Autonomous AI Objectives
Attackers are hijacking autonomous AI agents by planting instructions in content they read—no exploit needed. Here's how it works, real 2025 incidents, and defenses.
What Is an AIBOM (AI Bill of Materials)? A 2026 Primer
An SBOM tells you what code you ship. An AIBOM answers the question that has no good answer today: what models, datasets, and prompts is our AI actually built on — and where did they come from?
AI Supply Chain Security: Securing Models and Datasets
Your AI supply chain is not just your npm dependencies anymore. It is the models you download, the weights you load, and the datasets you train on — and each is an attack surface most software security programs have never inventoried.
Securing Hugging Face Models: A Practical Safety Guide
Hugging Face is the npm of machine learning, and it inherits npm's problems. Malicious weights, pickle payloads, and leaked Space secrets are all live risks — here is how to pull models safely.
AI Model Supply Chain Attacks: How Weights Become Malware
You would never run an unknown binary from a stranger, but teams pull unknown model weights off public hubs every day. Loading them can be code execution — and that is only the most obvious link in the chain.
SPDX 3.0 AI Profile: Building an AIBOM in Practice
SPDX 3.0 was published in March 2025 with a dedicated AI profile and a Dataset profile. We walk through how to produce a defensible AIBOM in SPDX format alongside or in place of CycloneDX.
How Snyk AI-BOM generates a CycloneDX v1.6-compliant ML-BOM
How Snyk's aibom CLI uses static analysis to detect models, agents, and MCP servers, then maps them into a CycloneDX v1.6-compliant ML-BOM structure.
What an AI Model Risk Registry Should Actually Track
Most AI model inventories are name-and-owner spreadsheets. Here's the provenance, licensing, CVE, and revalidation fields a real AI model risk registry needs to track.
CAISI's May 2026 Frontier Model Testing Agreements: Pre-Deployment Evaluation Becomes a Supply-Chain Control
On May 5, 2026, NIST's CAISI signed pre-deployment evaluation agreements with Google DeepMind, Microsoft, and xAI, bringing five frontier labs into a government testing program covering cyber, bio, and chemical risk.
When the Vulnerability Is the Design: MCP STDIO Command Injection Across 150M Downloads (May 2026)
OX Security documented command injection through the MCP STDIO transport across Python, TypeScript, Java, and Rust SDKs. Anthropic calls the behavior by-design and won't patch upstream. That leaves the fix to thousands of downstream projects.
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