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CNCF Expands Open Infrastructure for Production AI
The infrastructure required to run artificial intelligence in production is becoming a major focus of the cloud native ecosystem. The Cloud Native Computing Foundation (CNCF) is expanding its portfolio to address that shift, adding projects focused on AI agent security, Kubernetes-native execution and distributed inference. Its latest ecosystem update highlights new Sandbox projects including OpenShell…
Compal Showcases NVIDIA Rubin AI Infrastructure at SC26
Compal Electronics will showcase a portfolio of AI computing and networking systems built around NVIDIA technologies at Supercomputing 2026 (SC26), taking place November 17–19 in Chicago. The portfolio spans NVIDIA HGX-based servers, Rubin accelerated computing, CPUs, data processing units, high-speed network interfaces and Ethernet switching. The focus is on a growing infrastructure challenge: scaling AI…
Secure Passage Adds MCP Capabilities to Truman AI Platform
Secure Passage is developing Model Context Protocol (MCP) server capabilities for Truman, its identity-driven Physical AI Operating System, to let compatible AI applications and agents interact with connected physical security, building and operational technology systems through a common interface. The development is designed to bring information and supported actions from cameras, access control platforms, sensors,…
Kyndryl Report Finds AI Returns Outpace Enterprise Readiness
Kyndryl has released its third annual Readiness Report, identifying a growing gap between enterprise returns from artificial intelligence and organisations’ ability to manage the technology’s risks. While 64% of surveyed business leaders report positive returns on AI investments, average readiness for external risks has fallen to 24%, down seven percentage points from 2025. Based on…
Cequence Security Report Targets Agentic AI Runtime Risks
Cequence Security has published a report developed with input from KPMG in Singapore, examining how organisations can govern and secure AI agents while they perform actions across business applications and APIs. Titled Agentic AI Runtime Security, Governance, and Control, the report argues that conventional identity checks and fixed permissions may not be enough when AI…
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