Applying DevSecOps principles to machine learning workloads

Protecting data and other enterprise assets is an increasingly challenging task, and one that touches nearly every corner of an organization. As the complexity of digital systems grows, the challenges mount. One method that helps reign in the chaos is bringing development, security and operations together via a DevSecOps methodology, that integrates security across the IT lifecycle. Yet, as artificial intelligence (AI) advances and machine learning (ML) moves to the center of an organization, there’s … More → The post Applying DevSecOps principles to machine learning workloads appeared first on Help Net Security.
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