Companies are trying to define personas and roles and responsibilities for security as AI gathers steam. Looking at how some leading companies go about securing AI and also how technologies have evolved in the past, I created a slide for the same.
Just like in the Cloud (where we have different personas involved like cloud security, DevSecOps, etc.), different personas are involved in securing Machine learning for enterprises.
I see 2 key sets of teams involved in the efforts:
- Security teams now being extended to add ML capabilities (ML Security)
- ML teams now extending to add security(MLSecOps)
The 2 personas may not even know of the others' existence in many cases and have totally different profiles and view of security.
The image above talks of the different personas, their roles and responsibilities, their tooling infrastructure, their knowledge base and their key focus areas. How are you seeing it develop in your enterprises?
As the Cloud security Alliance (CSA) we are now working to define security in the GenAI world. We are defining the Top Threats for GenAI (just like we did for the Cloud). Would love to hear from you if you areinterested in contributing to the work? Yes we have a GenAI. Think tank day onFriday this week.
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