AI-Driven Cybersecurity Techniques, Systems, and Resilience

As cyber threats increase, AI strengthens cybersecurity defenses and enhances organizational resilience. AI-driven cybersecurity techniques leverage machine learning, predictive analytics, and automated threat detection to identify vulnerabilities, detect malicious activities, and respond to security incidents. These advanced systems enable organizations to protect critical digital assets, reduce response times, and improve the accuracy of threat intelligence in complex cyber environments. AI-driven cybersecurity promotes adaptive and resilient security frameworks that address emerging threats and safeguard information systems against future attacks. AI-Driven Cybersecurity Techniques, Systems, and Resilience explores the application of intelligent technologies in detecting, preventing, and responding to cyber threats. It examines AI-driven cybersecurity techniques, intelligent defense mechanisms, automated security systems, and resilience strategies that enhance an organization's ability to withstand, adapt to, and recover from cyberattacks. This book covers topics such as information systems, risk management, cybertechnology, and is a useful resource for engineers, security professionals, academicians, researchers, and scientists.