On-Demand Webinar / Analyst Relations

AI 導致的風險:符合 Monetary Authority of Singapore (MAS) 規範的雲端與 AI 安全指南

隨需觀看

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.

適合的觀眾群
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

主講人:

Kenneth Teo
Kenneth Teo

Principal Security Engineer, Tenable

Wing Churn Leong
Wing Churn Leong

Senior Cloud Security Engineer, APJ, Tenable

Deepu James
Deepu James

Principal Security Engineer, Tenable

資源

解決方案

Achieve Canada CCSPA (Bill C-8) compliance with Tenable One OT Exposure

白皮書

Aligning Tenable One Cloud Exposure to the Department of Defense zero trust capability execution roadmap

解決方案

適用於 DoD 的 Tenable 解決方案:超越 ACAS 的網路安全