Optimize AI Inference: Real-Time NodeBalancers Metrics for AI Workloads

...

Important: Red Hat Security Advisory: RHTAS 1.4 - GA Release of Model Transparency

The GA release of the RHTAS Model Transparency CLI image. For more details please visit the product documentation at https://access.redhat.com/documentation/en-us/redhattrustedartifactsigner/1.4 The RHTAS Model Transparency CLI image can be used to sign and verify AI/ML workloads...

Zero Trust Switching: Why Firewalls Alone Can’t Secure AI Workloads

...

New Microsoft Data Security Index report explores secure AI adoption to protect sensitive data

Generative AI and agentic AI are redefining how organizations innovate and operate, unlocking new levels of productivity, creativity and collaboration across industry teams. From accelerating content creation to streamlining workflows, AI offers transformative benefits that empower organizations ...

GPU in the Blind Spot: Overlooked Security Risks in Transportation

Graphics processing units GPUs are becoming an essential part of the intelligent transportation system ITS for enabling video-based and artificial intelligence AI based applications. GPUs provide high-throughput and energy-efficient computing for tasks like sensor fusion and roadside video...