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AI Security

What log data to redact before sending it to an LLM

Logs hold credentials, personal data and internal names. Here is what to strip or tokenize before an LLM sees them, and how to keep analysis useful.

Oct 18, 20263 min read
AI Security

What is prompt injection? Direct vs indirect, and defenses

Prompt injection is input that changes an LLM's behavior in unintended ways. Learn direct vs indirect forms and the OWASP mitigation steps that help.

Oct 18, 20263 min read
AI Security

What is the Model Context Protocol (MCP) and why secure it?

MCP is an open standard for connecting AI applications to data, tools and workflows. Learn how it works and the security questions it raises.

Oct 18, 20263 min read
AI Security

What is MITRE ATLAS and how do AI security teams use it?

MITRE ATLAS is a public knowledge base of adversary tactics and techniques against AI systems. Here is what it contains and how teams put it to work.

Oct 18, 20264 min read
AI Security

What is AIDR? AI detection and response explained

AIDR is an emerging category that watches prompts, agents, models and data pipelines for attacks and misuse. Here is what it covers and what it does not.

Oct 18, 20263 min read
AI Security

What goes in an AI impact assessment: a practical template

An AI impact assessment documents purpose, data, impacts, reassessment, costs, review and risk acceptance. A template from public federal guidance.

Oct 18, 20263 min read
AI Security

A security checklist for MCP servers in VS Code

VS Code can run MCP servers from workspace files, and local servers can run arbitrary code. A checklist on trust, config location, secrets and sandboxing.

Oct 18, 20263 min read
AI Security

Voice cloning and deepfake calls: a verification policy for teams

The FBI warns criminals use AI voice and video to impersonate executives. Set a verification policy so a convincing call cannot move money or access.

Oct 18, 20263 min read
AI Security

USENIX package hallucination study: what the numbers mean

A USENIX Security 2025 paper tested 16 code models and 576,000 samples for invented packages. What the figures say, what they do not, and what to do.

Oct 18, 20263 min read

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