Chandrika J – författare

There is a growing need for insights and practical experiences in the evolving field of cyber security for business analytics a need addressed by Cyber Security in Business Analytics. Divided into sections covering cyber security basics, artificial intelligence (AI) methods for threat detection, and practical applications in e-commerce and e-banking, the book's team of experts provides valuable insights into securing business data and improving decision-making processes. It covers topics such as data privacy, threat detection, risk assessment, and ethical considerations, catering to both technical and managerial audiences.• Presents real-case scenarios for enhancing understanding of how cyber security principles are applied in diverse organizational settings• Offers advanced technologies such as artificial intelligence methods for cyber threat detection, offering readers• Provides a detailed exploration of howAI can make cybersecurity better by helping detect threats, unusual activities, and predict potential risks• Focuses on the convergence of cyber security and data-driven decision-making and explores how businesses can leverage analytics while safeguarding sensitive information• Includes insights into cutting-edge techniques in the field, such as detailed explorations of various cyber security tools within the context of business analyticsCyber Security in Business Analytics will be useful for scholars, researchers and professionals of computer science and analytics.

There is a growing need for insights and practical experiences in the evolving field of cyber security for business analytics a need addressed by Cyber Security in Business Analytics. Divided into sections covering cyber security basics, artificial intelligence (AI) methods for threat detection, and practical applications in e-commerce and e-banking, the book's team of experts provides valuable insights into securing business data and improving decision-making processes. It covers topics such as data privacy, threat detection, risk assessment, and ethical considerations, catering to both technical and managerial audiences.* Presents real-case scenarios for enhancing understanding of how cyber security principles are applied in diverse organizational settings* Offers advanced technologies such as artificial intelligence methods for cyber threat detection, offering readers* Provides a detailed exploration of howAI can make cybersecurity better by helping detect threats, unusual activities, and predict potential risks* Focuses on the convergence of cyber security and data-driven decision-making and explores how businesses can leverage analytics while safeguarding sensitive information* Includes insights into cutting-edge techniques in the field, such as detailed explorations of various cyber security tools within the context of business analyticsCyber Security in Business Analytics will be useful for scholars, researchers and professionals of computer science and analytics.