Artificial intelligence inference is entering a new era defined not by compute alone, but by an escalating demand for context memory that traditional storage architectures were never designed to handle. Inference didn’t hit a compute wall — it hit a context memory wall. As AI workloads evolve from single-shot prompts to multi-turn, agentic sessions with ...

AI agents are entering enterprise environments at machine speed, but the data-centric security controls needed to govern their access and behavior are still catching up, creating a new rift in enterprise AI. That gap is exactly where Veeam Software Corp. GmbH is staking its future. Following its $1.725 billion acquisition of Securiti Inc., the company is ...

The next cybersecurity battle will not be over whether companies use AI, but whether they can trust what they build with it. That is why AI cybersecurity trust discussions are moving to the top of the industry’s agenda. No longer a side conversation, AI instead finds itself as foundational for how modern cyber defense operates, according ...

As AI compresses threat response windows to mere seconds, the security operations center is undergoing a fundamental transformation — and the agentic SOC is emerging as a solution that combines autonomous, machine-speed investigation and containment with essential human governance. The industry is confronting a hard reality: AI is now a force multiplier for attackers as ...

AI is moving from pilots to production, with enterprise AI execution increasingly shaped by integration rather than ideation. AI-first companies now have a chance to rethink core functions such as customer support, sales and finance from first principles instead of forcing new tools into legacy environments. The bigger shift is that AI is no longer just ...

Enterprises are under mounting pressure to manage infrastructure more efficiently as AI and distributed applications drive up cost and complexity. As a result, the industry is moving toward more adaptive systems that use intelligent data placement to respond automatically as demands change. Auto-tiering is often mistaken for older hierarchical storage management, but the newer approach ...

Shadow AI is emerging as one of the most dangerous enterprise risk vectors, eclipsing the shadow IT problem that plagued the cloud era. As employees experiment with generative AI tools, organizations face mounting compliance exposure, data leakage and regulatory penalties that dwarf the consequences of unsanctioned cloud instances. The urgency is compounding as agentic AI ...

As AI accelerates both innovation and risk, cyber resilience strategy has become an urgent business imperative — how can organizations protect critical data, detect threats before they spread and recover fast enough to stay operational? The answer lies in taking a more operational approach to resilience, according to Michelle Graff (pictured, right), senior vice president ...

Companies are under pressure to move faster on AI while keeping complex infrastructure and operations under control, making enterprise platform simplification a growing priority. As a result, many organizations are looking for ways to consolidate tools and strengthen security. On one hand, companies are trying to expand massive, capital-intensive AI projects, and on the other, ...

With Kubernetes becoming the bedrock of modern enterprise infrastructure, Kubernetes virtualization seems to be the next logical step forward. In fact, KubeVirt — an open-source project that brings container-native virtualization to Kubernetes — is enabling teams to run and manage virtual machines alongside containers from a single control plane. With the release of version 1.8 ...