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Subrat SaurabhAuthor of Kuch Woh PalThe topic of this book is the evolving landscape of cloud database security and its role in the threat of cyber-attacks by artificial intelligence (AI). It begins with the introduction of basic cloud computing concepts, points out the significant security problems, and describes data protection as important. The authors delve into deep learning (DL) and machine learning (ML) techniques for real-time threat detection, anomaly identification, and intrusion prevention. The book covers the use of AI for security mechanisms, predictive analytics, and automated threat intelligence sharing. It also discusses new developments, such as federated learning, blockchain security, and homomorphic encryption. In addition, the text deals with the risks of quantum computing, regulation compliance, and rising threats. The book is a standalone cybersecurity reference for students, professionals, and researchers based on acknowledged theoretical ideas and practical applications. Cloud security should include AI and ML to improve integrity and resilience against smart threats.
Rajendra Prasad Sola, Nihar Malali, Praveen Madugula
After 20 years in IT, Rajendra Prasad Sola is a Technology Manager specialising in Cloud, Database Architecture, and Administration. Raj managed US and Indian teams as a multinational manager. Raj specialises in Clustering & Engineered System Management, Performance Engineering, Automation Maturity Assessment, Disaster Recovery, and System Administration. Raj is well-versed in Teradata and MongoDB. Raj, a certified Cloud Architect, has worked with clients in banking, telecom, life sciences, and retail and understands ITIL processes. Raj resides in Greater Bengaluru, India, with his wife Aruna and son Dushyanth.
Technology management and leadership veteran Nihar Malali has worked for over two decades. Nihar, Senior Director & Senior Solutions Architect at National Life Group, uses Cloud Computing, Artificial Intelligence, and Data-Driven Technologies to create secure and efficient solutions that help organizations scale and satisfy customers.
Nihar is an expert in data engineering, machine learning, microservices, enterprise integration, and system design and implementation on Azure, AWS, and GCP. He codes Python, Java, Rust, and Angular JS and leads teams and sets up governance frameworks.
Praveen Madugula is an experienced insurance life and annuities technology leader working on digital transformation.
He develops new solutions that improve operational efficiency and consumer experiences using full-stack programming, data analytics, and cloud platforms (Azure, AWS). He specialises in corporate solutions delivery, system integration, architecture design, and global team leadership.
As Principal Consultant at Techno Tasks Inc., he oversees technology teams to deliver challenging Risk and Finance projects such actuarial modelling, financial reporting, general ledger, and reinsurance.
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