Financial institutions are increasingly turning to artificial intelligence (AI) to improve efficiency, enhance customer experience, and drive innovation. However, implementing trustworthy and secure AI at scale presents unique challenges to the financial sector due to the sensitivity of financial data, the importance of regulatory compliance, and the need to maintain high levels of security and reliability.
While there are numerous industry guidelines (NIST, MITRE, EU, etc.) that outline the risks associated with Gen AI, a comprehensive, actionable approach is needed to guide financial institutions in developing and managing those concerns associated with Gen AI systems.
Co-developed with the members of the IBM Financial Services Cloud Council, the Generative AI Controls Framework: A safe, secure, and compliant AI adoption approach represents that comprehensive approach to identifying Gen AI specific risks and associated controls at each layer of the AI tech stack in order to build, deploy, and manage AI systems that are secure, trustworthy, and transparent.
This whitepaper provides a detailed overview of the framework and offers practical guidance for implementing it in various GenAI applications.
Download: Generative AI Controls Framework: A safe, secure, and compliant AI adoption approach
IBM is committed to enabling enterprises’ end-to-end data and AI platforms at scale in a trusted and secure manner while creating productivity and competitive advantages. As part of that commitment, IBM is implementing the ability to monitor and govern this Generative AI Controls Framework in solutions such as IBM Cloud Security and Compliance Center (SCC), watsonx.governance, and IBM OpenPages.
Finally, to learn more about how IBM is creating a new standard for secure and risk-centric cloud computing, please visit IBM Cloud for Financial Services.
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