Description
Book SynopsisOptimal Spending on Cybersecurity Measures: AI and Governance
The aim of this book is to demonstrate the use of business driven risk assessments to address government regulations and guidelines specific to AI risks, as AI systems often require access to personal data. All aspects of AI, machine learning models, continuous learning, generalization, predictive and descriptive analytic are dependent on massive data sets. The more diverse and comprehensive the data, the better an AI can perform. Therefore, AI systems require vast amounts of personal data, and should this data be accessed by unauthorized individuals or organizations, it will lead to a privacy breach which may result in personal harm to citizens, i.e. identity theft.
This book introduces the cyber risk investment model, and the cybersecurity risk management framework used within business-driven risk assessments to address government regulations, industry standards and applicable Laws.
