Abstract
This research explores the role of Agentic Artificial Intelligence (Agentic AI) in enhancing Cybersecurity Governance, Risk, and Compliance (GRC) within telecom and enterprise systems. Agentic AI is characterized by autonomous decision-making, continuous learning, contextual reasoning, and goal-oriented task execution that offers transformative potential for real-time risk assessment, automated compliance enforcement, predictive threat mitigation, and intelligent security orchestration. The study examines how Agentic AI can integrate with existing cybersecurity architectures, security operations centers (SOCs), and regulatory frameworks to enable adaptive governance, proactive risk management, and continuous compliance assurance. Using a qualitative research approach grounded in a systematic literature review and documented industry case studies from telecom operators and large enterprises. The analysis highlights improvements in automated risk scoring, real-time policy enforcement, re