The Sequence Scope: Security: The Most Ignored Area of MLOps

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📝 Editorial: Security: The Most Ignored Area of MLOps

In the last few years, we have seen remarkable levels of innovations across most areas of the MLOps stack. Model serving, monitoring, interpretability, testing are some areas that have quickly become incredibly fragmented with numerous innovative startups and incumbents launching incredibly compelling offerings. Security seems to be the one area lacking behind in innovation in the ML space. This might seem surprising as, in the traditional DevOps space, security have become an integral part of the lifecycle of applications. In the case of ML, security is often treated as an afterthought or try to be addressed by using traditional stacks which don’t quite adapt to the dynamics of ML applications.

Securing ML pipelines is not only different but quite challenging. The nature and surface of attacks in ML solutions doesn’t share the DNA of traditional applications often involving areas such as data or policy manipulation. This problem is even…