How to Secure AI Business Models
IBM Technology. Jeff Crume's lightboard explainer of the three places generative AI introduces risk — the data, the model, and the usage — and what good controls look like for each. Useful for the article's argument that "be careful" isn't enough; you need to think about which category of risk you're actually exposed to as an employee.
AI Expert note
Treat this as conceptual guidance. Do not use real company data until permissions, retention, logging and human-review boundaries are clear.
What you should get from this
Jeff Crume's lightboard explainer of the three places generative AI introduces risk — the data, the model, and the usage — and what good controls look like for each.
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Take it further
Hand-picked external courses that go deeper on this topic.
EIPA — European Institute of Public AdministrationAI & EU Law: Definition and Developments
The fastest credible briefing on what the AI Act actually says — written by the institute that trains EU civil servants. Forty-five minutes; covers the risk-tier classification, who's responsible for what, and what changes for your product roadmap. The single best starting point for EU-deployed AI systems.
Coursera · University of MichiganGenerative AI: Governance, Policy, and Emerging Regulation
Few courses survey the regulatory landscape across the US, EU, and G7 in one place; this one does. Useful for compliance officers and product leaders trying to ship into multiple jurisdictions without inheriting hidden legal exposure. Pairs well with the EIPA EU AI Act primer for the European-specific detail.