AI and Human Expertise Must Scale Together for Digital Resilience

Presented by Splunk Agentic AI is making IT and security teams dramatically more efficient. But it’s also removing the apprenticeship that has long produced experienced operators. As organizations automate more of the work once performed by junior analysts and engineers, they’re confronting a challenge that’s as much about workforce design as architecture design: how to build the next generation of experts when AI handles the work that once trained them.

What the junior workforce has been doing For two decades, the path to becoming a world-class SecOps analyst, SRE, or NetOps engineer ran through repetition. Triaging false positives. Hunting through dashboards for context.

Reading logs at 2 a.m. that turned out to be benign. The industry treated this work as drudgery, and in many ways it was.

But it also served as the apprenticeship. The thousands of hours an analyst spent staring at traffic patterns built the intuition that made them invaluable when a real attack arrived. That intuition was not taught in a single course or captured in a runbook.

It was accumulated through exposure, pattern recognition, failure, and escalation. Over time, this is how people earn deep analytical experience. However, agentic AI is now beginning to automate the very tasks that once served as the training ground for that expertise.

That is not a reason to slow down. The drudgery was costly. The burnout was real.

Organizations should use agents to reduce toil wherever they can. At the same time, as we remove that apprenticeship loop, we need to provide operators something better in its place. How organizations approach this issue today will determine the winners for the future.

Organizations that approach this deliberately will produce the operators skilled to succeed in the next decade. Organizations that punt on this may find themselves with faster systems today, but with fewer people who understand them deeply enough to govern them tomorrow. When automation hollows out accountability There is also a second dimension to this conversation that gets less attention than it should.

In regulated environments, the drudgery of apprenticeship is part of the accountability layer. Frameworks from SOX to PCI DSS to HIPAA to NIS2 assume there is a chain of human judgments behind a control decision. Auditors do not interview models.

They interview people who can explain why a system did what it did, why the decision was sound, and whether the right controls were in place. When the population of professionals who can explain that chain begins to thin, the risk may not appear immediately. The control may still pass.