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@article{190853,
        author = {Mohammed Sadath P},
        title = {From Defence to Autonomy: Leveraging Agentic AI for Self-Governing Cybersecurity Ecosystems},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {8},
        pages = {5514-5521},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=190853},
        abstract = {The article examines the transformative role of Agentic Artificial Intelligence (AI) in contemporary cybersecurity, tracing the shift from reactive security frameworks to autonomous, goal-driven defence systems. Traditional mechanisms, constrained by static rules and human latency, are increasingly inadequate against sophisticated threats such as polymorphic malware, zero-day exploits, and AI-driven attacks. Employing a conceptual and analytical methodology, the study synthesises theoretical insights from intelligent agent theory, multi-agent systems, and perception–action loops with empirical evidence from AI-enabled Security Operations Centres (SOCs) and adaptive cyber defence architectures. The findings highlight that agentic AI enhances threat detection, enables real-time autonomous responses, and facilitates adaptive, context-aware security orchestration. Moreover, the integration of human–agent collaboration ensures ethical oversight, accountability, and operational resilience. By embedding autonomy within cybersecurity ecosystems, agentic systems not only improve operational efficiency but also reconceptualise security as a continuous, self-governing, and ethically aligned process. This research underscores the strategic imperative of transitioning towards intelligent, learning-based, and proactive cyber defence mechanisms to counter the accelerating sophistication of digital threats.},
        keywords = {Agentic AI, Autonomous Cyber Defence, Adaptive Security Architecture, Human–Agent Collaboration.},
        month = {January},
        }