Build practical business risk management skills to strengthen technology resilience, manage AI risks, and support business continuity. Learn to assess cyber dependencies, protect automated decisions, and select risk-based mitigation controls.

Designed for risk, cybersecurity, compliance, AI governance, and technology professionals, this course examines system redundancy, layered resilience, and fallback mechanisms alongside algorithmic risk, model drift, bias, and explainability. Explore AI privacy and security threats, resilience impact assessments, continuous auditing, ethical oversight, and failure monitoring. You'll evaluate when human intervention is needed and how model testing, versioning, and rollback can reduce AI lifecycle risks. You'll also examine AI supply-chain vulnerabilities, documentation, liability, and organizational governance controls. By the end, you'll be able to analyze critical technology dependencies, assess automated decision risks, and recommend safeguards that balance resilience and accountability. What sets this course apart is its combined focus on technology resilience and AI governance, connecting cybersecurity foundations with monitoring, lifecycle controls, and practical risk scenarios to guide mitigation decisions.