AI governance, procurement & security
Governance, procurement, vendor review, data retention, and risk controls for AI tool adoption.
AI data retention policy guide for internal tools
A guide to setting practical retention rules for prompts, files, meeting transcripts, tool logs, evaluation data, and generated outputs.
AI governance tooling guide for teams moving from policy to practice
A practical guide to AI governance workflows across inventories, risk tiers, vendor review, evaluation, monitoring, and incident response.
AI procurement checklist for tool buyers
A checklist for evaluating AI vendors by data use, retention, security, model behavior, admin controls, pricing, and exit paths.
AI vendor security questionnaire for SaaS and agent tools
A practical security questionnaire for reviewing AI vendors, agent builders, data connectors, and model-powered SaaS before adoption.
Desktop and browser agent guide for workflows that leave the chat window
A guide to evaluating browser and desktop agents by permissions, browser state, authentication, screenshots, automation limits, and human approvals.
Prompt-injection risk guide for AI tools connected to data and actions
A practical guide to prompt-injection risks in RAG, browser agents, MCP tools, email, documents, and customer-facing chatbots.