Platform engineering 2.0 mitigates AI security and compliance risks (platformengineering.org)

Platform engineering is evolving from its foundational phase (1.0) to a more advanced iteration (2.0) as organizations begin integrating AI and large language models (LLMs) into their workflows. Announced by Broadcom, Platform Engineering 2.0 emphasizes robust security and compliance measures to mitigate risks associated with AI, particularly in addressing the vulnerabilities of AI-generated code. This evolution is significant because it shifts the focus of security responsibilities from being a post-deployment addition to an inherent part of the platform itself, aided by automated, policy-as-code mechanisms that offer a consistent approach to governance and compliance. Key features of Platform Engineering 2.0 include a centralized model governance system that regulates AI model behavior and a strong workload isolation strategy designed to prevent data leaks and ensure that malicious code cannot spread between AI workloads. By integrating these components at the platform level, rather than leaving them to be managed separately by application developers, this framework enables more effective oversight and management of AI risks. The move aims to establish a neutral trust boundary around AI operations, facilitating the scaling of AI capabilities while maintaining security integrity and meeting regulatory demands, thereby reducing the strain on organizations grappling with AI-induced complexity.