How to prepare images and documents for an AI workflow
Control file types, size and isolation before extracting text or sending content for analysis.
Read articleKnowledge you can apply
Guides
Practical guidance for using AI while keeping control of your data.
How to prepare incident reports for AI analysis
Preserve evidence at its source and send a reduced version with symptoms, technical context and processed identities.
Read articleHow to compare models without exposing real documents
Build a small task set, measure quality and cost, and evaluate the effect of your privacy policy.
Read articleHow to check transport and credentials before integrating AI
Verify the destination, keep TLS checks enabled and separate keys by application and environment.
Read articleHow to decide what an agent may remember
Build useful memory with allowed fields, retention limits and a test that detects accumulated personal data.
Read articleHow to send only the necessary passage in a RAG workflow
Enforce access before retrieval and process retrieved passages before adding them to prompts.
Read articleHow to constrain an AI agent's tools
Separate lookup, proposal and execution. Give each action limits that prompts cannot expand.
Read articleHow to prepare transcripts for AI analysis
Review identity and retention at every stage, from recording to summary, using fictional samples first.
Read articleHow to review logs in an AI integration
Find where prompts, keys and personal data may be recorded, and retain only what operations require.
Read articleHow to review context before every AI call
Inventory questions, history, documents and tools. Every stage should send only the information its task requires.
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