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Clear out junk files and repair common Windows errorsFree Scan →Scan for outdated or missing drivers - takes under a minuteDriver Scan →The AI Cybersecurity and Resilience Summit is a virtual event about securing AI as it moves from pilot projects into production—and keeping critical operations running when cyber incidents or other disruptions occur. The official event listing gives its date as Wednesday, October 28, 2026, at 9:00 AM UTC. The wider program also includes a Dell Technologies-led flagship on October 27 and regional broadcasts spanning October 28–29, so the schedule depends on which part of the program you want to watch.
What the summit is about
The event focuses on building security, governance, and resilience into AI systems from the start. Its central question is practical: can deployed AI systems withstand cyber risk, data-integrity problems, and operational disruption?
TheCUBE frames the program around three imperatives: adopting AI in a trusted and secure way, defending against AI-enabled adversaries, and maintaining business operations through disruption. Sessions are expected to address reducing AI attack surfaces, detecting and responding to threats at machine speed, and recovering after a cyberattack. These are event themes, not a guarantee that every session will cover each topic in equal depth.
When it takes place—and why listings show multiple dates
The official event page lists Wednesday, October 28, 2026, at 9:00 AM UTC. SiliconANGLE’s October 5 preview describes a broader program: a Dell Technologies-led flagship on October 27, additional industry perspectives on October 28, and regional broadcasts for North America, EMEA, and APJ from October 28–29. These dates describe different program elements and regional broadcasts, rather than conflicting start dates for a single session. Check the official event listing for the current schedule, since dates and viewing details may change.
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What the sessions are likely to examine
Trust involves more than the model
SiliconANGLE’s preview argues that trust in production AI depends on the systems around a model or agent: infrastructure, data, identity, and applications. A model may produce useful outputs while its surrounding environment remains vulnerable to compromised credentials, manipulated data, or unsafe application integrations. That is the preview’s analysis, not an independently measured conclusion about enterprise AI projects.
Security across the AI stack
Expect discussion of attack surfaces in model inference, training data, identity, applications, and infrastructure. The preview describes security-by-design across supply chains, infrastructure, identity, and data. For attendees, the useful question is whether a proposed approach covers the whole path from data and access controls to the systems that host and use AI—not just the model itself.
Prevention, detection, and recovery
The program’s resilience framing extends beyond preventing incidents. The preview describes a “secure, detect and recover” approach, including isolated recovery environments with clean copies of essential data and applications. Prevention can reduce exposure; detection can identify compromise; recovery planning helps restore trustworthy systems and data when prevention fails.
Continuity through disruption
Resilience is presented as the ability to maintain or restore critical operations, not as a promise that incidents can always be prevented. This makes recovery objectives, clean data, and the ability to resume essential services relevant alongside security controls.
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Who is listed
The official page lists these hosts:
- Krista Case, theCUBE Research principal analyst and practice lead for Cyber Resilience and Security
- Scott Hebner, theCUBE Research principal analyst for AI
- Dave Vellante, SiliconANGLE Media co-founder and co-CEO
The visible speaker roster includes:
- Simon Jelley, Rob Emsley, Adam Miller, Rick Martinez, Kamlesh Shah, Judy Furlong, and Ash Lakshmanan of Dell Technologies
- Rodrigo Rodrigues of Experian
- Vincent Goveas of Capital One
- Xiong Xiong of Ascend Performance Materials
- Eric Herzog of Infinidat
- Bhooshan Thakar of InfoScale, a Cloud Software Group business unit
This is the roster currently published on the event page; it may be updated.
How to watch
The event listing points to live and on-demand content through the theCUBE platform. SiliconANGLE’s preview also points readers to YouTube and SiliconANGLE coverage. Because the program has regional broadcast dates, use the official listing to confirm the relevant session time and viewing destination rather than assuming every broadcast begins at 9:00 AM UTC.
How to assess the vendor perspectives
Different speakers may emphasize different parts of the problem. To compare approaches during the sessions, look for concrete answers to these questions:
- Scope: Which AI assets are covered—models, training data, inference environments, agents, applications, identity systems, or underlying infrastructure?
- Trust and protection: How are data integrity and identity protected, and how are supply-chain or access risks addressed?
- Detection: What signals indicate compromise, and how quickly can the organization investigate and respond?
- Recovery: How are clean recovery points created and isolated from systems that could be compromised?
- Continuity: Which essential operations can continue during an incident, and what must be restored first?
These questions help distinguish a broad resilience strategy from a solution focused on only one layer, such as backup, model security, or threat detection.
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Claims and context to keep in perspective
SiliconANGLE’s preview includes statements and figures from event participants. Treat them as attributed perspectives, not independent proof of effectiveness. For example, Dell director of cyber resilience product marketing Rob Emsley said Dell has more than 2,700 customers with deployed on-premises cyber recovery vaults. That is a company-representative claim reported by SiliconANGLE, not an independently validated count.
The preview also reports Infinidat CMO Eric Herzog’s claim that a demonstration recovered 2.5 petabytes in four seconds. That is a demonstration claim, not an independently validated benchmark. SiliconANGLE attributes a 60%–70% data-reduction range to Congruity360 COO Mark Ward, who said it resulted from eliminating redundant or outdated data using Congruity360 technology; it should not be treated as a general outcome for other organizations.
SiliconANGLE discloses that theCUBE is a paid media partner for the summit and says sponsors do not have editorial control over theCUBE or SiliconANGLE content. That relationship is relevant context when weighing vendor statements alongside the event’s broader themes. Read the SiliconANGLE preview for its coverage and attributions.
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