What to expect during the AI Cybersecurity and Resilience Summit
SiliconANGLE Victoria Gayton
AI security is moving to the center of enterprise AI. The big worry isn’t model quality anymore; it’s whether the data and systems can survive attacks.
Based on reporting by SiliconANGLE, Victoria Gayton — read the original for the full story.
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The AI Cybersecurity and Resilience Summit is taking aim at a shift many enterprises are only now admitting out loud: AI doesn’t just need to work, it needs to be trusted. Once models and agents move from pilots into live systems, the old question of performance gets joined by a tougher one about whether the surrounding infrastructure can hold up under attack, data corruption or plain operational chaos.
That is the thread running through the summit’s lineup. Dell Technologies leads the flagship program on Oct. 27, with additional sessions from InfoScale and Infinidat Ltd. on Oct. 28. The broadcasts reach North America, EMEA and APJ audiences across Oct. 28–29, and theCUBE Research analysts Dave Vellante, Krista Case, Christophe Bertrand and Scott Hebner will focus on how enterprise architecture, security and operating models are changing as AI increases both the value of corporate data and the speed of attacks.
Dell’s message is blunt: security can’t sit off to the side anymore. The company says AI factories create new exposure across model inference, training data, identity, applications and the underlying infrastructure. Its response has been to push security deeper into the stack, including supply chain protections, infrastructure controls and data protection. Dell has also broadened its PowerProtect line toward cyber resilience management, adding AI-assisted recovery guidance, better anomaly detection across PowerStore snapshots and managed detection and response for PowerScale.
Recovery is where the story gets practical. Dell says it has more than 2,700 customers using on-premises cyber recovery vaults, designed to hold clean copies of essential data and applications outside a compromised production environment. The company’s pitch is to preserve a “minimal viable company” so an organization can get back online after an outage. That framing matters because the source article treats recovery not as a backup chore, but as part of AI readiness itself.
The other vendors are making the same point from different angles. InfoScale is emphasizing autonomous operational resilience, where protection and response happen while an incident is still unfolding. Infinidat is centering its case on storage, immutable snapshots and clean recovery points, with the reminder that primary storage and backup storage both need cyber protection. And beneath all of it sits the same uncomfortable truth: if enterprises can’t trust the data feeding AI systems, the rest of the stack is just expensive decoration.
My take — AI-written commentary, not fact-checked reporting
This is the right fight to have. Too many AI pitches still treat security like a coat of paint, then act surprised when a system with access to real data and real actions needs real guardrails. The industry’s favorite trick is to call that “complexity”; the rest of us call it engineering, finally showing up to the meeting.
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