Where clean data comes in
All of this gets a lot easier if your data isn't a mess to begin with. A CV that doesn't quite match a previous submission, a phone number that keeps turning up against different names, a work history that shifts between applications are the fingerprints a ghost candidate leaves behind. But you'll only spot them if your Bullhorn records are accurate and deduplicated in the first place. Messy data doesn't just slow your desk down. It gives fraudulent candidates somewhere to hide.
This is exactly the groundwork Kyloe DataTools is built for. Alongside merging duplicates and flagging inconsistent fields, its new Trust Score feature lets you independently score a candidate record against external verification checks, so you get a clear read on how accurate (and how real) a profile actually is, rather than relying on gut feel alone.
And it's not just for your senior consultants to worry about. Fraud tends to target the fastest-moving, least scrutinised part of the pipeline, which in a lot of agencies is exactly where your newest recruiters are working. Get the whole team trained on this, and get the underlying data clean, and you've closed off the two easiest routes in.
The real question isn't whether a ghost candidate has been through your pipeline already.
It's whether your data would actually show you when it does.
