Special breaking analysis: Veeam’s bet on data + ai trust – expanding from recovery into the trust layer
Veeam is trying to pull off a major transition at the right AI wave moment. The company started as the practical backup and recovery standard-bearer in the VMware era, broadened into physical, cloud, SaaS and Kubernetes protection, then leaned into ransomware resilience with immutable backups, malware detection and SLA-backed recovery. Now it’s making its biggest bet yet, using the Securiti acquisition to push up the stack and create a new category in what Anand Eswaran is calling “Data + AI Trust,” built on five pillars: security, governance, compliance, privacy and resilience.
AWS Moves Orgs From AI Experimentation to Agentic Operations
At “What’s Next with AWS” 2026, AWS made its strategic direction clear: enterprise AI is moving beyond models toward operationalized agents, inference optimization, and AI-native applications built on Amazon Bedrock and AgentCore.
AI Agents Are Exposing the Limits of Traditional Identity Governance
SailPoint’s Agentic Fabric launch highlights how AI agents are forcing identity governance beyond periodic reviews and into real-time operational control, accountability, and authorization.
Healthcare AI Fails Without Governance, Determinism, and Clinical Trust
Healthcare AI adoption depends on governance, deterministic orchestration, and clinically trusted AI systems
Special Breaking Analysis: Quantum computing finds its place in the stack as an accelerator, not a replacement
Quantum computing is not arriving as a magic box that obsoletes classical computing. This is the key takeaway from the work we’ve done recently at theCUBE Research culminating at World Quantum Day, where we held conversations with leading national labs. The main message to our community is that quantum’s first role will be as a specialized accelerator inside a broader hybrid compute fabric. Moreover, while most mainstream organizations should not dilute their AI initiatives with “Quantum fever,” post quantum cryptography (PQC) should be top of mind and part of the planning process in 2026.
314 | Breaking Analysis | Nvidia, AI factories and the transition to accelerated computing
The market is trying to price a transition it hasn’t fully internalized. It sees Nvidia’s market cap with a 5 handle and assumes the story is one of mostly GPUs. We believe that’s the wrong mental model. The shift underway is closer to the RISC to x86 transition, but far more substantive. While x86 became the de facto standard, it largely grew proportional to normal server and PC refresh cycles. The dynamic powering Nvidia is far more powerful and not well understood in our view. Nvidia is creating a new platform by becoming the default substrate for enterprise computing, and that platform pulls everything else into its gravity. In this cycle, the unit driving growth isn’t a PC or a server, it’s the AI factory, which is a rack-scale system that turns power, data, compute and software into intelligence through tokens, reasoning, and automated workflows.
Building a Cyber Resilience Operating Model for Modern Enterprise Security
Modern enterprise security requires more than prevention and incident response. Learn how cyber resilience operating models connect prevention, detection, recovery, and operational continuity to reduce business disruption.
Cisco, Astrix, and the Missing Layer in AI Security
Cisco’s planned acquisition of Astrix highlights a growing gap in enterprise AI security: runtime control for AI agents and non-human identities operating across SaaS and API ecosystems.
AI-Powered Observability Moves From Monitoring to Autonomous Remediation
AI-powered observability is evolving from reactive monitoring to autonomous remediation and operational control.