01388nas a2200085   4500000000100000008004100001245008600042856006600128520110800194       2022                            d00aCybersecurity Threat Landscape: Predictive Modelling Using Advanced AI Algorithms  uhttps://ijaeti.com/index.php/Journal/article/download/318/3303 aIn the contemporary digital landscape, the convergence of artificial intelligence (AI) and big data technologies holds immense promise for revolutionizing cybersecurity practices and fortifying future networks against evolving threats. This paper explores the synergistic potential of AI and big data in creating robust cybersecurity ecosystems capable of effectively mitigating cyber risks and safeguarding critical infrastructures. Through a comprehensive analysis of existing literature and emerging trends, this study elucidates the transformative impact of AI and big data integration in enhancing threat detection, incident response, and risk management strategies. By harnessing the power of AI algorithms for real-time threat analysis and leveraging big data analytics for contextual insights and anomaly detection, organizations can proactively identify and mitigate cyber threats before they escalate into full-blown attacks. The methodology involves a systematic review of relevant literature, followed by a critical analysis of key findings and implications for future research and practice.