Episode 6 — Connect AI Outcomes to Business Harm: Money, Safety, Trust, and Law (Domain 1)
The ultimate goal of AI risk management is to protect the organization from tangible harm, a core focus of Domain 1. This episode examines how technical AI failures translate into business consequences, including financial loss, threats to physical safety, erosion of customer trust, and legal liability. For the exam, candidates must be able to link specific AI behaviors—such as an incorrect medical diagnosis or a leaked proprietary dataset—to the broader impact on the enterprise. We discuss the importance of conducting impact assessments that go beyond the IT department to include legal, compliance, and public relations perspectives. By understanding the cascading effects of an AI incident, professionals can better justify the costs of risk mitigation to executive leadership. This high-level view of risk outcomes ensures that governance efforts are aligned with the most critical threats facing the business, emphasizing that AI risk is fundamentally a strategic business risk. Produced by BareMetalCyber.com, where you’ll find more cyber audio courses, books, and information to strengthen your educational path. Also, if you want to stay up to date with the latest news, visit DailyCyber.News for a newsletter you can use, and a daily podcast you can commute with.
