By Guest contributor |
Most conversations about AI and security start in the wrong place. They open with what could go wrong, and they end with a list of things the business is not allowed to do. From where I sit, that framing is the actual risk. If security becomes the reason change arrives late, the customer feels the delay long before they ever feel the benefit. The organisations getting this right are running two engines side by side: a repeatable build line that turns AI ideas into production capability, and an always-on security operation that lets those capabilities go live without a leap of faith.
First, the build engine needs to be repeatable, not heroic. Coretek’s AI Factory exists because one-off AI projects do not scale and do not stay secure. The model moves from a workshop-led envisioning phase, where we assess AI, data and cloud readiness and prioritise use cases by value, into a factory phase that establishes the foundational architecture for agents and workflows and connects the data ecosystem behind them. A typical engagement lands four data sources and three AI use cases in production, and the point is not the count. The point is that the fourth use case costs less and carries less risk than the first, because the controls, the identity model and the data plumbing were built once and reused.
We proved this on ourselves before we sold it. Running as our own first customer, we built a governed data estate on Microsoft Fabric and put agents into production across eight different departments, with agent identity and every agent carrying a named owner and a defined scope. That internal work is where we learnt the security lessons that now arrive with the method rather than after the incident: what an agent should be allowed to read, how privileged access to a client environment is brokered, and where an over-permissioned prototype quietly becomes an exposure.
The second engine is the part that never sleeps: the run function, which is an operation, not a product. Our CoreDefend security operation runs 24 hours a day, 365 days a year across the globe, with manned facilities, segmented network communications and brokered privileged access into client environments. That operation is audited and evidenced rather than asserted. It is aligned to SOC 2 Type II, ISO 27001, ISO 42001, NIST 800-53 Moderate and PCI DSS, and staffed by more than 190 cloud, data centre and security engineers. Coretek is an Azure Expert Managed Services Provider, a verified Microsoft extended detection and response service and a member of the Microsoft Intelligent Security Association, which matters because it forces our own practices to be inspected and audited by someone other than ourselves.
What clients tell us they get from pairing the two is not simply fewer incidents, although that is the recurring headline. It is fewer high-severity events, an operational burden lifted off internal teams who were already stretched, and a shift from capital-intensive, unpredictable security spend into a measurable operating model. It is also audit-ready evidence on demand, and executive reporting that shows trend and risk in language a board can act on. Those outcomes are what make the next AI use case an easy decision instead of a governance debate.
Vision becomes value at the seam between those two engines. A build line without a run function produces pilots nobody dares promote. A run function without a build line protects an organisation into irrelevance. Put them together and change stops being disruption. The customer never sees the security operations centre or the factory. They see a service that answers faster, remembers them, and does not break. That is the whole point.
Tyler Hopperton is chief security officer at Coretek
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