Home icon

Enabling AI adoption at scale through enterprise risk management framework – Part 2

Security Blog



This article provides a comprehensive guide to implementing an Enterprise Risk Management Framework (ERMF) for generative AI adoption, focusing on key areas of responsible AI implementation.

  • Discusses adapting risk management frameworks for cloud and generative AI technologies
  • Identifies eight critical control areas for responsible AI adoption:
    • Fairness
    • Explainability
    • Privacy and security
    • Safety
    • Controllability
    • Veracity and robustness
    • Governance
    • Transparency
  • Recommends building organizational capability through:
    • Developing incident response plans
    • Creating training programs
    • Regularly updating risk management practices

The article emphasizes that successful generative AI implementation requires a holistic approach that balances innovation with robust risk management controls.



Go to article

The AWS News Feed is currently looking for gold sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.

Related articles

Sep 25
2025
Enabling AI adoption at scale through enterprise risk management framework – Part 1
Jul 22
2024
Overseeing AI Risk in a Rapidly Changing Landscape
Nov 13
2025
Mitigate AI security risks with Amazon Q Business and Securiti: Five-step governance framework
Mar 31
2026
Can your governance keep pace with your AI ambitions? AI risk intelligence in the agentic era

The AWS News Feed is currently looking for silver sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.