In today’s rapidly evolving digital landscape, malicious and autonomous AI systems, driven by dark intelligence and exploiting cognitive and cyber-physical vulnerabilities, pose a significant threat to interconnected AI and digital twin ecosystems. These emerging risks demand practical strategies to strengthen cyber resilience and safeguard critical infrastructures. AI and Digital Twins Under Siege addresses these challenges by proposing comprehensive and adaptive defense mechanisms.
Recent advances in AI and digital twin technologies have introduced complex vulnerabilities beyond traditional cybersecurity models. Dark intelligence represents a new threat paradigm that requires integrated and dynamic security frameworks. While existing research explores AI ethics, resilience and defense, these areas are often fragmented and lack a clear focus regarding evolving attack dynamics and real-world threats such as AI-driven exploitation.
This book bridges this gap by offering a unified perspective that combines technical, operational and policy insights. It provides actionable frameworks to counter adversarial AI, supporting secure and resilient digital innovation across critical sectors.
Recent advances in AI and digital twin technologies have introduced complex vulnerabilities beyond traditional cybersecurity models. Dark intelligence represents a new threat paradigm that requires integrated and dynamic security frameworks. While existing research explores AI ethics, resilience and defense, these areas are often fragmented and lack a clear focus regarding evolving attack dynamics and real-world threats such as AI-driven exploitation.
This book bridges this gap by offering a unified perspective that combines technical, operational and policy insights. It provides actionable frameworks to counter adversarial AI, supporting secure and resilient digital innovation across critical sectors.
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