Citation:

Girish Kotte. "Securing the Future with Autonomous AI Agents for Proactive Threat Detection and Response" International Research Journal of Economics and Management Studies, Vol. 4, No. 5, pp. 165-170, 2025.

Abstract:

This research investigates the integration of autonomous AI agents into cybersecurity frameworks for threat detection and response. AI systems receive an evaluation on their capability to discover, analyze and stop active cyber risks in real-time while delivering better precision along with Swiffer performance. The evaluation examines how AI systems measure against traditional security approaches to determine total operational effectiveness and reaction speed. The research thoroughly evaluates security obstacles, system transparency, and technical boundaries that unfold across the investigation. A set of strategic suggestions is both to boost AI implementation and optimize proactive security actions for cybersecurity environments. Secondary data analysis through interpretivist philosophy combined with thematic analysis aligns with the research approach to support its findings.

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Keywords:

Threat detection, Autonomous AI, integration cybersecurity, real-time response, machine learning, resilience, ethical AI, transparency, governance.