ChatGPT ad personalization is now written into OpenAI’s privacy policy, and that single sentence is the whole story. Advertising inside ChatGPT stopped being an experiment somebody at OpenAI was quietly testing and became a documented product behaviour with a legal basis, a data flow, a retention story and a settings screen. When a company writes […]
AI system inventory work starts with an uncomfortable question nobody can answer: which AI tools are we actually using? This guide gives you the register that answers it — a field-by-field template, the five places shadow AI genuinely hides, seven discovery methods that surface tools nobody declared, a two-week sweep plan, a four-tier triage scale, and a clean mapping to ISO/IEC 42001, the NIST AI RMF and the EU AI Act.
Shadow AI turns employee-led AI tools into a new security perimeter. Learn how to discover usage, classify data, approve tools, monitor risk, and keep innovation moving.
Almost every organisation has bought business AI and almost none has changed how the work is actually done, which is why the numbers on the board slide still describe usage rather than outcome. This guide sets out the four stages a business AI programme passes through — assistance, workflow redesign, agents, and orchestration — what has to change at each one, and why the constraint is the operating model rather than the model. It covers use case selection, the data and permission foundations that agents expose, agent identity and control planes, security threats specific to agentic deployments, the regulatory position after the EU’s Digital Omnibus delay, what business AI actually costs once consumption and oversight are included, and the metrics that survive a finance review.
A CEO-facing guide to Shadow AI, data leak prevention, employee AI governance, and practical controls for responsible AI adoption.
