The evolving landscape of AI in threat intelligence and risk assessment
Adeyemi Abel Ajibesin, Narasimha Rao Vajjhala · 2025
The integration of artificial intelligence (AI) into threat intelligence and risk assessment has revolutionized the field, introducing advanced capabilities to detect, analyze, and mitigate risks effectively. This chapter explores the pivotal role of AI technologies, such as machine learning (ML), predictive analytics, and natural language processing, in enhancing the accuracy and efficiency of threat detection and mitigation processes. This chapter highlights the transformative impact of AI-driven innovations in anomaly detection, autonomous threat responses, and the generation of actionable insights from unstructured data sources. The chapter further examines the integration of AI with emerging technologies, including blockchain, the internet of things, and cloud computing, which collectively create robust frameworks for secure and scalable threat intelligence systems. Additionally, the discussion addresses the critical challenges associated with AI deployment, such as adversarial attacks, ethical considerations, and regulatory compliance. The emergence of Explainable AI is emphasized as a key solution to enhance transparency and accountability in AI-driven decision-making systems. By analyzing current trends, challenges, and prospects, this chapter provides a comprehensive overview of how AI is reshaping threat intelligence and risk assessment, offering valuable insights for researchers, practitioners, and policymakers striving to navigate the complexities of this dynamic field.