Unified storage has long been treated as a pragmatic, commodity storage investment: Balance cost, simplify operations, move on. In a world of AI enablement and, consequently, downside AI risk, that mindset no longer holds. Agentic, autonomous AI use cases are making storage a strategic decision point to address capability needs, performance requirements, and GRC concerns. AI systems increasingly operate directly on live enterprise data, […]

SUSECON 2026 in Prague marked a clear advance on the platform pillars SUSE introduced a year earlier in Orlando — and a more forceful articulation of its choice narrative. SUSE argued that choice only matters if it can be operationalized: enabling sovereign workload control and resilience not just to technical failure but to economic and […]

Unified storage has traditionally been a commodity decision, driven by cost and operational simplicity. As enterprises move from AI experimentation to production, storage is becoming a strategic asset that directly impacts AI performance and risk. With models operating directly on enterprise data, tolerance for complex data movement is shrinking, pushing platforms to embed governance, security, observability, metadata, and programmable services aligned to the OASIS Framework. This report explains why unified storage is critical for production-ready AI and how leaders should evaluate platforms for this next phase.

At KubeCon Europe 2026, Kubernetes’ AI story shifted from “add support” to “rebuild the platform.” AI conformance, upstream GPU orchestration, shared inference blueprints, and in-platform governance are setting the new defaults.

Over the past several months, I’ve gotten a sharp uptick in questions from infrastructure leaders trying to make sense of rising infrastructure costs. The questions are all variations of the same theme: What’s actually driving this? Is it temporary? And what — realistically — can we do about it? The short answer is that this […]

Disaster recovery (DR) is no longer a back‑office function — it is essential to keep the business running in the face of constant disruption. As technology stacks grow more complex and recovery expectations accelerate, DR practitioners are becoming creative problem-solvers, adapting to new platforms, architectures, and failure modes. While many organizations now position DR as a strategic capability tied to enterprise risk management, readiness remains uneven. Drawing on insights from Forrester’s 2025 survey with Disaster Recovery Journal , this report examines how DR programs are evolving, where gaps persist, and what it takes to meet modern resilience demands.

Quantum security requirements will hit organizations in places you did and didn’t expect — from the security team looking to upgrade its PKI to the development team making sure upcoming releases are quantum safe to the infrastructure team looking at hardware refreshes and legacy IoT devices. Organizations must mobilize across security, infrastructure, development, innovation, risk, and procurement to ensure their systems, data, and customer commitments remain secure in a post quantum world.In this fireside chat, we break down what Q day readiness truly requires, why timelines are shrinking, and how technology leaders can coordinate an effective, enterprisewide migration strategy. Whether you're leading security, infrastructure, product development, or risk governance, this session will help you chart a path toward quantum safe resilience.Key takeaways: Understand why quantum security timelines have accelerated — and what NIST’s deprecation deadlines mean for your organization.Learn the essential roles of your cross‑functional Q‑day team and how to coordinate enterprisewide cryptographic discovery and migration.Gain actionable guidance on preparing infrastructure, identity systems, third‑party ecosystems, and development pipelines for post‑quantum cryptography.Target audience level: beginner

The alleged Stryker cyberattack underscores a critical blind spot in enterprise resilience strategies: the outsized risk and impact of compromised device and endpoint management platforms.

The US cloud market in 2026 is entering a new era defined by AI-native architectures, multicloud complexity, and sovereignty concerns. While public cloud remains dominant for scalability and innovation, enterprises are increasingly adopting private and hybrid models to manage cost, compliance, and resilience. AI-driven workloads and agentic automation are reshaping cloud strategies, pushing hyperscalers and neoclouds into fierce competition. This report helps cloud leaders navigate these shifts by outlining the latest adoption patterns, operational priorities, and strategic recommendations for building a future-ready cloud ecosystem.

Anthropic’s push into agentic AI highlights a core enterprise challenge: Speed alone is not enough. It's governance, trust, and accountability that determine real value.