Security News > 2024 > April > Applying DevSecOps principles to machine learning workloads

As artificial intelligence advances and machine learning moves to the center of an organization, there's an emerging challenge: how to incorporate ML security into the broad development cycle.

That's where machine learning security operations enters the picture.

It extends DevSecOps principles into AI and across the machine learning lifecycle.

Conventional development cycles usually lead directly to a software application interface or API. In the machine learning space, the focus is iterative, building a trainable model that leads to better outcomes.

The ultimate goal is transparency and traceability across the machine learning supply chain.

With an MLSecOps framework in place, it's possible to elevate security and realize the full value of AI and machine learning.

News URL

https://www.helpnetsecurity.com/2024/04/25/mlsecops-devsecops-workloads/