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AI Security

What happens when a self-hosted model hits its limits?

A self-hosted model has no plan quota, but it has limits: context, memory, queue depth and exposure. What to set, watch and do when you reach them.

Oct 18, 20264 min read
AI Security

Securing coding agents in CI: seven mistakes teams make

Coding agents in CI act on untrusted text with real credentials. Avoid seven common mistakes: broad tokens, open-ended tools, unpinned actions and more.

Oct 18, 20264 min read
AI Security

Securing coding agents in CI: a hands-on checklist

A coding agent in your pipeline inherits its token, secrets and inputs. Lock down permissions, untrusted input, action pinning and approvals in this list.

Oct 18, 20265 min read
AI Security

How do you write secure prompts for code review agents?

A prompt cannot secure a code review agent on its own. Treat pull request text as untrusted input, limit tools, validate output and keep a human on merge.

Oct 18, 20264 min read
AI Security

Secure prompts for AI code review agents: common mistakes

A prompt cannot secure a code review agent. Here are the mistakes teams make, from mixed instructions to approval prompts that gate nothing, and the fixes.

Oct 18, 20265 min read
AI Security

A secure prompt checklist for AI code review agents

A checklist for prompts and permissions on AI code review agents: treat diffs as untrusted, narrow the tools, validate output, and keep a human on merges.

Oct 18, 20264 min read
AI Security

How to secure coding agents that run in CI

A coding agent in CI reads untrusted text and holds credentials. Limit who triggers it, what it touches and what it does, using OWASP and GitHub guidance.

Oct 18, 20264 min read
AI Security

Red teaming an internal chatbot: the mistakes teams make

Most chatbot red teams test the model and miss the system around it. Seven common mistakes, with defensive fixes drawn from OWASP and NIST guidance.

Oct 18, 20264 min read
AI Security

How to red team an internal chatbot: a defensive checklist

Red team an internal chatbot by testing its tools, data access and untrusted inputs, not its tone. A scoped checklist with evidence and fix rules.

Oct 18, 20264 min read

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