Titlebook: Autonomous Data Security; Creating a Proactive Priyanka Neelakrishnan Book 2024 Priyanka Neelakrishnan 2024 Data Security.Cybersecurity.Inf

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Pedagogy

Traditional Data Security,nd any data protection solution. Our primary focus will be more on their methods of preventing internal attacks and analyzing their complexities, rather than external attacks. Throughout the remainder of the book, we will predominantly pivot our attention to internal attacks, as they are the most co

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Thinking Outside Norms,age you to approach the problem from different perspectives. Drawing on the knowledge you‘ve gained from the first two chapters, I‘m confident you now have a solid grasp of the issue and available options. However, it‘s crucial to not feel limited by these options. To illustrate this, I‘ve structure

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Data Security Solution Design,f existing data security solutions, we‘re well-prepared to begin our design process. The preceding chapter should have provided insights into breaking limitations, a crucial skill for this and subsequent chapters. Without challenging traditional boundaries, we cannot achieve an optimal, forward-thin

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Design Towards Autonomy,ehicles, some level of input is necessary. For example, a car may learn your preferred interior temperature is 70°F, but it won‘t automatically adjust if you feel too cold (at 70°F) on a specific day. The point is that no system, including security solutions, can be fully automated. They require min

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Pro-Active Intelligent Data Security,asier? Isn’t this a million-dollar question on the minds of everyone, from cybersecurity professionals and enthusiasts to executives seeking data protection? Can we entirely remove policy authoring and violation remediation from the hands of security administrators and fully automate these processes

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Future Ready Data Security,ncements and evolving security regulations, is both intriguing and complex. As I write, recent strides in artificial intelligence ensure its pervasive role in our lives. Every sector feels its profound impact, with forecasts suggesting AI could surpass human capabilities by 2030. However, there‘s an

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