data-governance
Safeguard articles tagged "data-governance" — guides, analysis, and best practices for software supply chain and application security.
6 articles
A LinkedIn Post Questioned Anthropic's Claude OSS Scanner License. Here Is What It Grants
Anthropic's opt-in OSS Scanner, built on its experience using Claude to find vulnerabilities, asks contributors to sign a contributor license agreement. What that agreement grants Anthropic, what it does not say, and ten questions to ask any AI vendor before you send code.
Construction Security: What's Actually at Risk in a Shared BIM Model
Building information models carry structural, mechanical, and security-system data across an entire project team — a multi-organization access problem the construction industry has under-secured for years.
Choosing an Agile Data Security Solution That Keeps Up
An agile data security solution protects data at the speed teams actually ship, embedding controls into pipelines and adapting as data moves rather than gating everything through slow manual review.
AI Information Security: How to Protect Data in AI Systems
AI information security is the practice of protecting the data that flows through AI systems, training sets, prompts, outputs, and the models themselves, from disclosure, poisoning, and misuse. Here is a working model of the risks and controls.
DSPM for AI: navigating data and AI compliance regulations
DSPM for AI closes the gap traditional tools miss: tracking sensitive data through embeddings, fine-tuning, and vector stores to meet EU AI Act and Colorado AI Act requirements.
AI Data Security Solutions: What Actually Protects Your Data?
AI data security solutions cover the tools and controls that protect the data flowing into, through, and out of AI systems. Here is what the category really includes and how to evaluate it.
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