The fake applicant problem
Hiring fraud isn't rare anymore. It's industrial.
You find out too late
Fraud usually surfaces during background checks, after your team has spent hours on someone who was never real.
It buries your real candidates
Fakes flood the top of your funnel, and the people you actually want get lost in the pile.
It's a security risk
The fake applicant you move forward is someone you're handing the keys to your systems and your customer data.
Meet your
Fraud Detector
Always on, right inside Kula. No extra tool, no extra step.
Every applicant reviewed automatically.
A clear verdict in seconds, not days.
You decide what happens to flagged candidates.
Reads the signals behind every application
Profiles that don't check out
A name that doesn't match LinkedIn, or an account with no real history behind it.
Coordinated fraud rings
The same device and IP behind a wave of "different" applicants.
VOIP and spam-flagged phone numbers, plus emails checked against breach history.
Scripts, emulators, and virtual machines filling out forms no human ever touched.
A verdict you can act on
Every applicant comes back flagged, inconclusive, or cleared.
Faked locations
VPNs, proxies, and spoofed GPS hiding where an applicant really is. Kula cross-checks the location they claim against their IP and device signals, and flags what doesn't line up.
You're always in control
The Fraud Detector flags. You decide. It never acts on its own.
Candidates are told up front.
Your rules. Nothing is rejected unless you say so.
It works from what the applicant submits and how they apply, not who they are.
Every flag comes with its full reasoning, signal by signal, each with a risk level.
Your AI teammates
Fraud is the first thing your AI teammates handle. Once an applicant is cleared, the Screener qualifies them and the Coordinator schedules them. One AI-native team, every stage of hiring.
Why customers love Kula
Strategic hiring starts and ends with Kula
Real candidates. Nothing else.
