Webinar · recording available
Secured AI: Containerized on IBM Fusion, powered by NeuralSeek.
A thirty-minute session on running generative AI behind your own firewall: IBM Fusion as the containerized foundation, NeuralSeek as the platform on top, and the applications that work on the first day. Recorded September 15, 2026.
What was covered
Highlights from the session
The questions a security or compliance lead asks before buying AI, and the answers the session gave.
Data sovereignty as the deciding question
The most common concern in the room was jurisdiction: where the data goes, who can be compelled to hand it over, and what happens if a provider withdraws a model. The answer: a solution that works with the internet unplugged, on models you host, under your own retention policy.
IBM Fusion as the foundation
IBM Fusion is the on-premises, containerized infrastructure: compute, storage, networking and backup on Red Hat OpenShift, in your building. You get one vendor to call and one environment to show an auditor.
NeuralSeek as the layer on top
The platform that makes the hardware useful on day one: guardrails, auditing and governance built in, a visual view of every agent, and the freedom to swap the language model without re-tuning anything else. The best model depends on the task, the latency and the cost.
Applications that work on the first day
The demonstration showed the bundled applications: a meeting listener that keeps transcripts and summaries on your own infrastructure, and the Word, Excel, PowerPoint and Outlook add-ins that run against the models you chose. Shadow AI was the argument for shipping something usable immediately.
How the session ran
Session agenda
The argument first, then a product demonstration and audience questions.
Why AI purchases stall
Hardware without applications, months of building before anything is shown, and the pressure that puts on the team that signed the order.
The IBM Fusion foundation
What the appliance provides underneath: OpenShift, storage, backup and the operational consistency of one hardware platform.
Sovereignty, retention and provider risk
Cross-border data transfer, compelled access, cloud-provider retention of queries, and models that have been withdrawn without notice.
Demonstration
The bundled applications, the model-swap workflow, and the Office add-ins, shown in the product.
Questions
How long it takes an engineer with no model experience to become productive, and whether email can be used as a data source.
Who it was for
Who should watch
The people who approve AI projects in regulated organizations, and the teams who run them.
IT and security leaders in healthcare
Where patient data stays inside your environment and every AI vendor is another agreement to track.
IT and compliance leaders in financial services
Where retention, examination and cross-border rules decide the architecture before the use case does.
CISOs and risk leaders
Who want one platform to approve once and use for every project.
Data and platform engineering teams
Who will run it, swap the model, and be asked how long until it does something useful.
Presented by
Presenters
Registration and follow-up were hosted by TechD.
Host, partnerships
NeuralSeek
Presenter, solutions
TechD
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