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4.7
16 reviewsThis book explores [b]three crucial topics[/b] for cybersecurity professionals: [b]artificial intelligence (AI), automation, and active cyber defense (ACD).[/b] The [b]Cybersecurity Trinity[/b] will provide cybersecurity professionals with the necessary background to improve their defenses by harnessing the combined power of these three concepts. The book is divided into [b]four[/b] sections, one addressing each underlying concept and the [b]final section[/b] discussing integrating them to harness their [b]full[/b] potential. With the expected growth of AI and machine learning (ML), cybersecurity professionals must understand its core concepts to defend AI and ML-based systems. Also, most cybersecurity tools now incorporate AI and ML. However, many cybersecurity professionals lack a fundamental understanding of AI and ML. The book's first section aims to demystify AI and ML for cybersecurity practitioners by exploring how AI and ML systems work, where they are vulnerable, and how to defend them. Next, we turn our attention to security automation. Human-centered cyber defense processes cannot keep pace with the threats targeting organizations. Security automation can help defenders drastically increase the speed of detection and response. This section will discuss core use cases that security teams can implement, including intelligence processing, incident triage, detection, and response. This section will end with strategies for a successful security automation implementation and strategies that can lead to failure. Accelerating the defense is but one side of the equation. Defenders can also implement [b]ACD methods[/b] to disrupt and slow the attacker. Of course, ACD spans a broad spectrum, including some that could raise legal and ethical concerns. This section will explore some ACD methods and discuss their applicability, as well as the need to include business, legal, and ethical considerations
