AWS Security Blog

Tag: Risk management

Balancing speed and safety: A control framework for AI coding agents

AI coding agents are part of the developer toolchain. Tools like Kiro and Claude Code generate features, tests, and code refactors from natural-language prompts. A single agent can open dozens of pull requests (PRs) across your repositories in an afternoon. That productivity comes with a trade-off: agents optimize for task completion at machine speed with […]

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

In Part 1 of this series, we explored the fundamental risks and governance considerations. In this part, we examine practical strategies for adapting your enterprise risk management framework (ERMF) to harness generative AI’s power while maintaining robust controls. This part covers: Adapting your ERMF for the cloud Adapting your ERMF for generative AI Sustainable Risk […]

Enabling AI adoption at scale through enterprise risk management framework – Part 1

According to BCG research, 84% of executives view responsible AI as a top management responsibility, yet only 25% of them have programs that fully address it. Responsible AI can be achieved through effective governance, and with the rapid adoption of generative AI, this governance has become a business imperative, not just an IT concern. By […]

Introducing the Ransomware Risk Management on AWS Whitepaper

May 10, 2022: The Ransomware Risk Management on AWS Using the NIST Cyber Security Framework (CSF) whitepaper has been archived, so we have updated the link in this blog post accordingly. AWS recently released the Ransomware Risk Management on AWS Using the NIST Cyber Security Framework (CSF) whitepaper. This whitepaper aligns the National Institute of […]