AI Vendor Security.
Vendor-specific security guides for the AI systems you actually use. Each guide covers central risks, specific risks, recommended controls, and Posture Check checkpoint.
Microsoft 365 Copilot Security
Permissions inheritance is the central security model. Get that wrong and Copilot surfaces what your SharePoint sprawl never made visible.
Read the guideChatGPT Enterprise Security
Customer prompts and outputs are not used to train OpenAI models. That is the headline security guarantee. Verify it. Then secure everything around it.
Read the guideClaude for Enterprise Security
Anthropic positions on AI safety as a foundational principle. Operationally, the security review is the same as any vendor: contracts, data handling, audit, vendor due-diligence.
Read the guideGemini for Workspace Security
Workspace permissions inheritance is the parallel to Copilot's permissions story. Same risks, different tooling.
Read the guideRAG Pipeline Security
RAG's promise is grounding LLM output in your authoritative corpus. Its risk is that your corpus is now a query-able attack surface.
Read the guideCustom GPT and Agent Security
Agents do work. That means they have privileges. That means compromise has consequences. Treat agents like service accounts that can be reasoned into bad decisions.
Read the guideReady to find out where you actually stand?
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