Securing AI/ML Workloads in the Cloud: Integrating DevSecOps with MLOps
The security engineer’s face went pale when she pulled up the access logs. Her team had deployed a fraud detection model to production three weeks earlier — standard stuff, containerized inference running on Kubernetes. Except someone had been quietly exfiltrating the model weights for the past eleven days through an API endpoint they’d forgotten to […]
