This report, authored by renowned cybersecurity expert Jim Routh, examines the shift from large, publicly hosted models to smaller, proprietary LLMs embedded across various applications.

The report stresses the critical need for robust governance models to manage risks such as data inaccuracies and information leakage. It outlines effective governance frameworks and strategies to maximise the use of GenAI while ensuring security, observability, and adherence to regulatory standards.

Key discussions include the distinct roles of ANI, AGI, and ASI within enterprise environments, and the practical application of AI governance. It presents a structured approach for developing AI policies and processes that foster innovation while protecting enterprise assets. This report is a vital resource for CISOs and IT leaders aiming to responsibly leverage GenAI's benefits, ensuring that these technologies enhance productivity without compromising security or ethical standards.