Data-Driven Cybersecurity (MEAP v5) by Mariano Mattei (.ePUB)+

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File Size: 24.6 MB

Data-Driven Cybersecurity: Reducing risk with proven metrics (MEAP v5) by Mariano Mattei
Requirements: .ePUB, .PDF reader, 24.6 MB
Overview: Measure, improve, and communicate the value of your security program. Every business decision should be driven by data—and cyber security is no exception. In Data-Driven Cybersecurity, you’ll master the art and science of quantifiable cybersecurity, learning to harness data for enhanced threat detection, response, and mitigation. The good news is that you don’t need to build AI algorithms from scratch. Many open-source libraries and frameworks—such as Scikit-learn, TensorFlow, and PyTorch—already provide pre-built models for cybersecurity applications. The key tasks are to collect high-quality, representative data, ensure AI systems are learning the right patterns, and continuously monitor and refine outputs to maintain effectiveness in an evolving threat landscape. For readers familiar with the basics of cyber security and data analysis.
Genre: Non-Fiction > Tech & Devices

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