The "IBM Agentic AI in Financial Services" document explores the opportunities and challenges of integrating agentic AI within the financial sector.
It defines agentic AI as autonomous systems capable of complex problem-solving and decision-making, distinguishing them from traditional AI and chatbots.
The paper identifies key risks such as goal misalignment, data privacy concerns, and security vulnerabilities, while also proposing comprehensive mitigation strategies including robust governance frameworks, real-time monitoring, and ethical considerations.
Furthermore, it discusses the evolving regulatory landscape in Australia and the EU, emphasizing the need for compliance-by-design and a proactive approach to AI procurement and literacy.
Finally, it outlines practical steps for organizations to implement agentic AI responsibly, ensuring both business value and risk management.
Source: click here.
