AI Security
Safeguard articles tagged "AI Security" — guides, analysis, and best practices for software supply chain and application security.
100 articles
What is an AI agent, and how is it different from a chatbot?
An AI agent is a model that picks its own steps and uses tools to finish a task. Learn how that differs from a chatbot and why the risk changes.
What is a remote sandbox for an AI agent, and what should you ask?
A remote sandbox is an isolated environment in the vendor's cloud where an AI agent runs code. Learn the isolation types and what buyers should ask.
What is a remote cloud sandbox for a coding agent?
A remote cloud sandbox is a disposable machine where a coding agent runs your code away from your laptop. Here is what it isolates and what it does not.
What is a pickle file, and why do ML teams worry about it?
A pickle file is Python's object serialization format, and loading one can run code. Here is how it works, why ML uses it, and how to reduce the risk.
What does a gated model on Hugging Face mean for security?
Gating controls who may download a model and shares requester contact details with its authors. It says nothing about whether the files are safe to load.
What happens when a vendor's AI feature goes wrong? Questions to ask
Ask how a vendor handles AI feature failures: detection, notification, rollback, root cause, and your options. Get the incident process in writing before you buy.
What does trust_remote_code=True actually do in Transformers?
trust_remote_code=True lets Transformers run model code from a Hub repo on your machine. Here is what that means, when it is needed, and how to pin it.
What does Gradio share=True expose from your notebook?
Gradio share=True makes a public link to an app on your machine for a week. What the docs say about proxying, auth and what your functions should avoid.
What does Allow always mean for an MCP connector tool?
Allow always lets an assistant run a connector tool without asking again. Learn when that is safe for security tools and when to keep the prompt on.
What is AI agent identity and which three questions does it answer?
AI agent identity gives each agent its own login so you can answer three questions: who acted, what were they allowed to do, and what did they do.
What data should a read only AI agent be allowed to see?
Read only still exposes data. Scope an AI agent's reads by dataset, row, field and purpose, and know what it can pass on. A decision table and steps.
Does a security vendor's AI see your source code? What to ask
Find out what your security vendor's AI actually receives: code, metadata, or findings only. A short list of data path questions and how to read the answers.
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