Cybersecurity Threat Landscape: Predictive Modelling Using Advanced AI Algorithms

Abstract

In 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. The results highlight the multifaceted benefits of synergizing AI and
big data in bolstering cybersecurity defenses, including improved detection accuracy, reduced
response times, and enhanced situational awareness. Furthermore, the discussion explores the
challenges and opportunities associated with AI and big data integration, such as data privacy
concerns, scalability issues, and the need for interdisciplinary collaboration. By addressing these
challenges and leveraging the complementary strengths of AI and big data technologies,
organizations can build resilient cybersecurity ecosystems capable of adapting to the dynamic
threat landscape of future networks. In conclusion, this paper advocates for a paradigm shift
towards AI-driven, data-centric cybersecurity approaches, emphasizing the importance of
collaboration, innovation, and continuous learning in building robust defenses for the digital age.