AI-Driven Cybersecurity: Safeguarding Enterprise Infrastructure and Digital Assets
Murali Krishna Pasupuleti · 2024
Abstract: This chapter delves into the transformative role of AI in enhancing cybersecurity, particularly in safeguarding enterprise infrastructure and digital assets. It explores how AI-driven tools and technologies are redefining cybersecurity by offering more effective, efficient, and adaptive defense strategies. The chapter covers key AI technologies such as machine learning, neural networks, and natural language processing, highlighting their applications in threat detection, threat intelligence, automated incident response, and Security Operations Center (SOC) enhancement. Additionally, it discusses AI-driven defense strategies like proactive threat hunting, endpoint protection, and the development of adaptive and autonomous security systems. The chapter also addresses the challenges and ethical considerations associated with AI in cybersecurity, including data privacy, bias in AI models, and the need for human oversight. Looking ahead, it examines future trends in AI-driven cybersecurity, including advancements in AI algorithms, integration with emerging technologies, and the importance of global collaboration and standards. This comprehensive exploration provides valuable insights for cybersecurity professionals, IT leaders, policymakers, and researchers working to protect enterprise infrastructure and digital assets from increasingly sophisticated cyber threats. Keywords: AI-Driven Cybersecurity, Machine Learning, Neural Networks, Threat Detection, Automated Incident Response, Security Operations Center (SOC) Enhancement, Proactive Threat Hunting, Endpoint Protection, Data Privacy, Bias in AI Models, Adaptive Security Systems, Autonomous Security Systems, Emerging Technologies, Global Collaboration, Cybersecurity Standards, Enterprise Infrastructure, Digital Assets.