Cybersecurity Audits for Emerging and Existing Cutting Edge Technologies

The evolution of cybersecurity insurance is spurred by financial institutions aiming to manage costs from cyber incidents, particularly in the early stages like cloud-based services. Analyzing big data, secure assessments of cyber events are done, linking repository data for various risk scenarios. Challenges arise in securing cloud services offered by giants like Google, Amazon, and Microsoft, as control over security is ceded. Research develops models countering cloud attacks to boost security. The role of cybersecurity in cloud service and application development is stressed. A comprehensive approach addresses Distributed Denial of Service (DDoS) attacks, evaluating algorithms using metrics. Blockchain's integration with cybersecurity is explored via text mining, revealing themes, vulnerabilities, and risks. Businesses moving to the cloud raise security concerns. Data-driven methods identify cloud vulnerabilities and propose solutions. Blockchain's potential and challenges in cybersecurity are highlighted. AI-driven defenses for Big Data are crucial. AI, Big Data, and blockchain's synergy is examined for security implications. Blockchain bolsters Cyber-Physical Systems security and healthcare record integrity. AI eases cybersecurity with machine learning. Collaborative mechanisms for sharing threat information are discussed. The study explores AI-driven cybersecurity frameworks for autonomous threat detection, analyzing their defensive and offensive roles amidst evolving challenges. The complex interplay between AI, cyber warfare, and modern cybersecurity is emphasized.