AI 驱动的风险：Monetary Authority of Singapore (MAS) Compliance 的云和 AI 安全指南

Learn how to seamlessly align your AI usage, data controls, and cloud security posture with MAS regulatory requirements

The convergence of AI, cloud, and data is creating a new, complex, risk landscape that challenges the security team. In December 2024, the MAS issued an Information Paper on Artificial Intelligence Model Risk Management (AI MRM), outlining good practices that all financial institutions are expected to reference when deploying AI technologies.

Join us to discover how a unified framework can help you manage this complex risk landscape. You will learn how to simplify your compliance strategy, and clearly demonstrate regulatory diligence to the key stakeholders, including how to address requirements from the MAS Advisory and TRM Guidelines.

Highlights of session:

• Secure all AI resources and data configurations with AI-SPM
• Implement technical controls to mitigate AI-specific data and security risks
• Validate compliant AI use cases with the right context
• Communicate a clear, defensible risk framework to leadership

AI Exposure primarily is to secure human and AI interactions with LLMs such as ChatGPT, and Copilot.

谁需要观看？
CISOs, security and infosec professionals interested in:

• Managing overall security posture, with key alignments to MAS guidelines
• Designing and securing models in public and private cloud environments
• Establishing policies and controls for the responsible use of AI