Adversarial Symbiosis in Cybersecurity: Co-evolving AI for Attack, Defense and Governance

Apply evolutionary biology to AI-driven cybersecurity attack and defense Offensive AI now discovers vulnerabilities, generates adversarial examples that defeat defensive models, and adapts in real time.Adversarial Symbiosis in Cybersecurity: Co-evolving AI for Attack, Defense and Governance reconceptualizes this landscape as a living ecosystem where defensive AI, offensive AI, and human operators continuously co-evolve through adaptive learning loops, with each side's adaptations shaping the other's trajectory.Drawing on predator-prey dynamics and biological co-evolution, the book delivers quantitative models, simulation methods, and practical design principles for building AI systems that adapt dynamically rather than merely detect threats.Later chapters address offensive AI capabilities including automated exploit discovery and adversarial example generation, while governance models balance innovation with ethics, safety, and regulatory compliance.The book also covers: Human-centered