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WHTop → 📋 News → Study: Data Center Power and Cooling Systems Carry Cyber Risk
Study: Data Center Power and Cooling Systems Carry Cyber Risk
📅 - Nearly one in five physical control assets inside major data centers sits just one network step from a system making outbound internet connections, according to research by Claroty. The exposure could give attackers a route toward power, cooling, building management, and monitoring equipment whose disruption may take computing capacity offline even when servers themselves remain otherwise uncompromised.
The finding shifts attention away from servers and network appliances toward equipment that most security programs still treat as facilities technology. Power distribution units, cooling controls, building management platforms, generators, environmental sensors, and data center [...][... Check source for end of article ...]
📅 - Arm Posts Record Quarter as AI Infrastructure Drives New Growth - Arm delivered another quarter of record revenue as AI infrastructure spending continued reshaping the semiconductor market, with licensing, royalties, and data center demand driving growth. The chip architecture company also reported accelerating interest in its AGI CPU initiative, signaling confidence that hyperscale computing increasingly favors Arm-based designs over traditional processor ecosystems across global markets.
For years, Arm's business revolved around collecting royalties from billions of smartphones and embedded devices while licensing processor designs to chipmakers. That revenue engine still matters. Increasingly, though, the company is being judged on something else [...]
📅 - DataBahn Raises $40M For Enterprise AI Data Orchestration - DataBahn has secured $40 million in new financing as enterprise software vendors race to solve a problem becoming increasingly expensive: delivering trusted data to AI systems without multiplying storage, networking, and processing costs. The Series B round, led by Insight Partners, arrives as organizations reconsider whether traditional data pipelines remain economically viable for large-scale artificial intelligence deployments today.
The funding lands during a period when enterprise AI spending is shifting beneath the surface. Buying models is no longer the primary concern for many organizations. Feeding those models with reliable, governed, business-specific information has become the [...]
📅 - Software Layer Targets AI Power Costs On Existing GPU Hardware - Artificial intelligence infrastructure operators are chasing incremental efficiency gains as GPU shortages, power constraints, and cooling costs increasingly limit expansion. Trust Carbon Infrastructure now claims independently signed measurements showing its HXS software layer reduced energy consumption while increasing inference capacity on NVIDIA H100 hardware without altering model outputs, a combination that, if widely replicated, would attract immediate enterprise attention and scrutiny.
For companies running large inference fleets, the economics increasingly revolve around utilization rather than simply acquiring additional accelerators. That changes the conversation around [...]
📅 - The European Gateway: Why Frankfurt is the Premier Hub for Dedicated Servers - For global enterprises, SaaS platforms, gaming communities, and IT professionals aiming to establish a dominant presence in the massive European market, choosing the optimal geographical deployment zone is the single most critical infrastructure decision you can make. While relying on servers in edge locations may suffice for localized traffic, doing so introduces severe latency penalties for users accessing data from across the continent. At iDatam, we provide the ultimate strategic solution for this challenge: premium bare metal dedicated servers located in the absolute digital crossroads of Europe—Frankfurt, Germany.
Frankfurt acts as a massive terrestrial fiber-optic hub for the entire
📅 - Brazilian Companies Split AI Workloads Across Hybrid Clouds - Brazilian companies are dividing AI workloads between private infrastructure and domestic public cloud regions as scarce advanced GPUs, data residency rules, and tighter cost controls reshape enterprise architecture. Research from ISG says data and preprocessing are staying local, while training and inference increasingly move to elastic capacity inside Brazil, raising questions about latency, resilience, and provider dependence.
The architecture is less about choosing between private and public cloud than deciding where each stage of an AI workload can run without creating a compliance, cost, or performance problem. Data and early processing remain in private, hosted, or colocation [...]
📅 - Check Point Adds AI Traffic Controls to Enterprise Firewalls - Enterprise firewalls are being asked to inspect a new kind of traffic: employee prompts, model calls, autonomous agent actions, and sensitive business context flowing toward public and private AI systems. Check Point is adding controls for that activity to its existing firewall software, aiming to govern AI use without forcing customers to deploy another standalone security layer.
The feature arrives in the R82.20 software release and sits inside Check Point's broader AI Defense Plane. The commercial argument is straightforward enough. Most large companies already have firewalls positioned across branch offices, data centers, cloud estates, and remote access paths. If AI activity can be [...]