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Securing GPU-accelerated AI workloads in Oracle Kubernetes Engine

ID: bf3d9542-0542-5dc3-b958-4d7eb126589c

STIX ID: report--bf3d9542-0542-5dc3-b958-4d7eb126589c

Feed Name: Sysdig Blog

Date Published: 2026-02-02

Date Updated: 2026-05-01

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This article outlines the expanding AI security attack surface and presents Sysdig’s approach to protecting GPU-accelerated workloads on Oracle Cloud Infrastructure and Oracle Kubernetes Engine through runtime insights, agentic AI-driven response, and open policy innovation. It emphasizes the OCI shared responsibility model, best practices across CI/CD posture hardening, continuous runtime detection and response, and rapid operational workflows, while promoting OCI-aligned blueprints and a joint Sysdig–Oracle Quick Start to integrate security-by-design into AI application deployments.

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