AI Detection: A Small Feature That Solves a Growing Problem in Hiring
2 minute read
Posted by Chris Platts on 17 February 2026
One of the biggest shifts in hiring over the past year hasn’t been a new tool, it’s been behaviour.
Candidates are increasingly using AI to help them prepare, practise, and sometimes even complete pre-hire assessments. It’s understandable. The tools are accessible, the pressure to perform is high, and the line between “preparation” and “assistance” is becoming blurred.
For recruiters, this creates a new challenge: How do you spot when performance might not reflect real-world ability — without turning the hiring process into an interrogation?
We’ve been thinking about this a lot.
Rather than adding friction or invasive proctoring, we’ve taken a different approach. We’ve introduced a small new signal within our candidate reports that helps hiring teams interpret results with greater context and confidence.
It doesn’t interrupt the candidate experience. It doesn’t rely on webcams or monitoring software. And it doesn’t label or accuse.
It simply gives recruiters an additional layer of insight — a subtle but incredibly effective cue that helps separate genuine performance from potentially assisted performance.
What we like most about this feature is its elegance. It works quietly in the background, integrates naturally into the existing report, and supports better decisions without changing workflows.
In hiring, more data isn’t always the answer. Better signals are.
This is one of those signals.
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