AI-Driven Autonomous Cybersecurity: How Machine Learning and Blockchain Are Building Self-Healing Digital Infrastructure..
Introduction In the modern digital era, cybersecurity threats are evolving at an unprecedented pace. Traditional security systems, which rely on manual monitoring and static rule-based defenses, are increasingly ineffective against sophisticated cyberattacks such as ransomware, phishing campaigns, and zero-day exploits. As organizations move toward cloud computing, Internet of Things (IoT), and distributed infrastructures, the need for autonomous and adaptive security systems has become critical. Recent technological advancements in Artificial Intelligence (AI), Machine Learning (ML), and Blockchain have introduced a new paradigm known as Autonomous Cybersecurity . These intelligent systems are capable of detecting, analyzing, and mitigating cyber threats in real time without constant human intervention. By combining AI’s predictive capabilities with blockchain’s decentralized trust mechanisms, researchers and cybersecurity experts are developing self-healing digital infrastructure...
