Securing the Use of Generative AI Technologies

This whitepaper presents a strategic framework for securing Generative AI (GenAI) technologies, addressing the associated security, privacy, and compliance risks. It emphasizes the need for a comprehensive approach that integrates governance, technology, and adaptive security measures. The document outlines the establishment of an AI Governance Committee tasked with overseeing AI projects and ensuring compliance with global standards. It also details the importance of defining ethical use expectations and conducting regular impact assessments to mitigate risks such as algorithmic bias. The whitepaper highlights the necessity of implementing strong technology controls, including secure deployment practices and maintaining model and data integrity. Furthermore, it discusses the significance of strengthening data and access controls, employing identity security models, and protecting both input and output data. Essential tools and capabilities for securing AI environments are also identified, along with a phased approach for evolving security maturity. The conclusion underscores the balance between innovation and security in the adoption of GenAI.