July 2025
Intermediate to advanced
352 pages
11h 41m
English
book
Post-Quantum Security for AI: Resilient Digital Security in the Age of Artificial General Intelligence and Technological Singularity
by Petar Radanliev
Content preview from Post-Quantum Security for AI: Resilient Digital Security in the Age of Artificial General Intelligence and Technological Singularity
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7
AI-Driven Defenses and Threat Mitigation
This chapter explores the transformative impact of AI-driven methodologies on cybersecurity, focusing on how quantum computing and AGI-level attacks require a shift from traditional rule-based defenses to more adaptive and proactive measures. Building on real-world examples and technical analyses, the chapter demonstrates the need for comprehensive strategies that integrate static analysis tools, post-quantum cryptographic checks, dynamic sandboxes, and advanced machine learning paradigms.
Objectives
Explain how AI and machine learning have changed cybersecurity: Examine the ways in which supervised and unsupervised learning models, such as deep neural networks and anomaly detection methods, are reshaping ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.