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Agentic AI refers to autonomous systems driven by large language models (LLMs) that act as intelligent agents, capable of perceiving environments, setting goals, creating multi-step plans, making decisions, and executing complex, multi-step workflows with minimal human oversight. Unlike passive chatbots and traditional AI tools that simply answer prompts, agentic AI actively reasons, uses digital tools, and adapts processes across various applications. It is rapidly emerging as the next major paradigm in automation, AI engineering, and enterprise transformation.

Technology plays a pivotal role in today's financial landscape. Ensuring cybersecurity and safety in the banking sector has become paramount. The pervasive integration of technology in banking operations has brought unprecedented convenience but also heightened the vulnerability of financial institutions to cyber threats. High-profile breaches and the potential consequences of compromised financial data have underscored the urgency of comprehensively addressing cyber security and safety in banking.