Agentic AI is defined by its autonomy, proactive nature, goal-oriented actions, and adaptability promises substantial operational efficiencies across healthcare, banking, payments, financial services, insurance and other highly regulated industries. However, its integration introduces critical cybersecurity and compliance risks. This report examines the key risks, governance approaches, ethical considerations, and management strategies essential for CISOs, CIOs, Chief Risk Officers, and Privacy Officers.
Understanding Agentic AI
Agentic AI is characterized by its autonomy (independent operation without constant human oversight), proactivity (initiating actions based on objectives), goal-orientation (pursuit of specific outcomes), and adaptability (learning and modifying strategies based on feedback). Unlike generative AI, which primarily creates content, agentic systems autonomously manage workflows and decisions across complex environments.
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