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Articles

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AI Security

What should you log from AI prompts and tool calls for audit?

Log who, which agent, which tool, the arguments and the outcome for every AI action. Protect the logs and decide what full prompt text you need.

Oct 18, 20264 min read
AI Security

What should you log about prompts and tool calls for audit?

Log who asked, which model and version, which tools ran with what arguments and results, and who approved. Redact secrets and personal data, protect the logs and set retention.

Oct 18, 20264 min read
AI Security

How do LLM guardrails keep AI interactions safe and reliable?

LLM guardrails are checks on what goes into and out of a model and what it may do. See where to place them, what they cannot stop and how to test them.

Oct 18, 20264 min read
AI Security

What is a large language model and what are its security limits?

An LLM predicts the next token from patterns in text. It drafts well but invents facts and follows injected instructions, so treat its output as untrusted.

Oct 18, 20264 min read
AI Security

ISO 42001 vs NIST AI RMF: which do you need, or both?

ISO 42001 is a certifiable management system standard; the NIST AI RMF is a voluntary risk framework. Learn how they differ, overlap and how to choose.

Oct 18, 20264 min read
AI Security

How do you respond when an AI agent does something it shouldn't?

Treat an AI agent mishap as an incident: stop the agent, revoke credentials, keep logs, scope the damage, then fix permissions. Steps and a worked case.

Oct 18, 20265 min read
AI Security

Incident response for an AI agent mishap: a checklist

When an AI agent deletes, leaks or ships something it should not, respond in order: contain, keep the trace, scope impact, then fix permissions.

Oct 18, 20264 min read
AI Security

What is human in the loop for AI, and when must a person approve?

Human in the loop means a person reviews or approves what an AI does. Learn when to require it, what the EU AI Act says and how to avoid rubber-stamping.

Oct 18, 20264 min read
AI Security

How to design human approval gates for risky AI agent actions

Gate irreversible agent actions with a human who sees the exact action. Sort actions by reversibility, bind approvals and avoid click fatigue.

Oct 18, 20264 min read

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