Introducing AI Fraud Detection Agent

If you're reading this, there's a 99% chance you've already come across fraud. In your inbound pipeline, on a Zoom interview, across LinkedIn forums. It's everywhere — and everyone's feeling it.

When we launched our waitlist last December, we were blown away by the response. The hundreds of sign-ups confirmed what we'd been hearing from customers for months: fraud isn't a fringe problem anymore. It's a daily frustration that's eating recruiter time, eroding confidence in inbound, impacting real candidates, and — at its worst — becoming a real security risk.

A few months later, we're even more impressed by what our early access customers like Daxko, OneSignal, Luma AI, and Workiva have already seen. 

[Placeholder for sizzle video]

What is Gem's AI Fraud Detection Agent?

Gem's AI Fraud Detection Agent is the third AI agent joining Gem's AI suite — and it's tackling a problem that's been quietly undermining recruiting teams everywhere. It automatically evaluates every inbound application for fraud risk — before a recruiter has spent a single minute on it.

Here's how it works: As applications come into your pipeline, the agent automatically evaluates them across multiple signals — resume metadata, email, phone, LinkedIn, person verification, and IP/device data. It evaluates all of them together (not in isolation) and assigns a clear risk level to every application: high, medium, or low. Every flag comes with a natural-language explanation of what triggered it, so your recruiters aren't left guessing.

The whole thing happens automatically, inside Gem’s Application Review, right where your team already works. No new tools to learn. No extra steps for candidates. No copy-pasting between tabs.

Recruiters control where and when it runs. Turn it on automatically for high-risk roles so every application gets screened from the start — or run checks on demand for specific applications when something catches your eye mid-review. Either way, it fits how your team actually works.

"Gem's AI Fraud Detection Agent didn't even take five minutes to figure out. It was just seamless — intuitive with my existing flow in Gem. When you're learning new tools, it can take time to really get the hang of things. This was immediate."

Samantha Perlman

VP of People

What early customers are already seeing

We'll let the numbers do the talking here.

Daxko joined early access and immediately started seeing fraud rates of up to 28% across active remote tech roles. Before Gem, Beth's team was manually copying and pasting candidate details into a standalone tool at $1.80 per check. On one difficult AI engineer role, a single bulk upload cost nearly $800. The workflow itself was the problem. By the time a check came back, the recruiter had already reviewed the resume, checked LinkedIn, and gotten emotionally invested. Finding out the candidate was fake felt like a gut punch every time.

With Gem's Fraud Detection Agent, Beth now checks fraud risk before she looks at a single qualification. The result: 89% cost savings per fraud check, and 8-10 hours saved per role on manual application review. 

"Between Gem's fraud check and AI matching, I was able to zero in on candidates that were high quality and legitimate so much faster. I'm not wasting time on the ones that aren't real."

Beth Wolfe

Senior Director, Recruiting

OneSignal was dealing with a different version of the same problem. Julia Graham, their Senior Technical Recruiter, had essentially become a human lie detector — running back-to-back screens, catching fraud on gut instinct alone, and watching the same exhausting pattern play out daily. On one open tech role after going live with Gem, she pulled up the applicant queue: 127 total applicants. 112 flagged high risk.

OneSignal reclaimed 14+ hours per role and renewed confidence in inbound as a channel. 

"Relying on one person's instincts isn't a system. Gem's AI Fraud Detection Agent gives us the evidence to make confident, consistent decisions — and makes sure we're not putting that burden on one person alone."

Samantha Perlman

VP of People

Why Gem's AI Fraud Detection Agent is different

There are other tools in this space, but most of them take the same approach: flag a signal, hand it back to you, and let you figure out what it means. That's not detection — that's delegation.

Here's what makes Gem's approach different:

It evaluates fraud risk, not just signals. Gem assesses all six signals together and gives you a verdict — high, medium, or low risk — with 90%+ accuracy. You're not left interpreting a list of individual flags.

Zero friction for recruiters and candidates. The agent runs automatically in the background. Candidates never know it's happening — no ID uploads, no selfies, no verification steps. Recruiters never leave their existing workflow.

It's built right into Application Review. No browser extension. No tab-switching. No separate vendor login. If you're already using Gem to review applications, this just shows up — in context, where it's actually useful.

Recruiters stay in control. The agent flags. You decide. Every flagged application comes with a clear explanation, and you make the final call on every candidate.

Flexible by design. Run fraud checks automatically on your highest-risk roles, or on demand for specific applications when your instincts tell you something's off. You get the coverage you need without running checks where you don't.

Who this is built for

AI Fraud Detection Agent works for any team using Gem Application Review — but if any of these describe you, it's especially worth a look:

• You're hiring for remote or distributed roles, particularly in engineering or technical functions

• You're dealing with high inbound application volume — whether you want automatic screening on your riskiest roles or the flexibility to run checks on demand, it works either way

• You're in fintech, crypto, gaming, or defense-adjacent industries where fraud risk runs higher

• Security or IT is already involved — or should be — in your hiring process

It works with leading ATSs including Gem ATS, Greenhouse, Workday, iCIMS, and SuccessFactors.

"Having AI Fraud Detection Agent baked into where you're already working — to me, that alone is a decision maker. For anybody who's already a Gem customer, it's a no-brainer. One less vendor to deal with, one less approval process — and you're getting more than you had before."

Beth Wolfe

Senior Director, Recruiting

How AI Fraud Detection Agent works with Gem's AI agents

Finding great talent is hard enough without fraud getting in the way. Gem's AI agents work together to cover the full recruiting journey — from finding the right people, to surfacing the best applicants, to making sure the candidates you're spending time on are actually real.

Here's how the three agents fit together:

• AI Sourcing Agent — Scours 800M+ profiles to find the best candidates for your open roles, so your team spends less time searching and more time connecting.

• AI Rediscovery Agent — Searches your existing database for top past candidates, silver medalists, and warm prospects, so you never have to start from scratch. 

• AI Application Review Agent — Surfaces the top applicants in your inbound pipeline, helping recruiters prioritize who deserves their attention and move the right people forward faster.

• AI Fraud Detection Agent — Filters out the noise. Automatically evaluates every application for fraud risk before a recruiter has invested time in a fake candidate — so the pipeline your team is working is one worth working.

Together, they cover the work that's always been too manual, too time-consuming, or too easy to get wrong.

See it for yourself

When we launched the waitlist in December, we said we were building something to solve a problem our customers were already living. Today, it's here.

If you want to see what it looks like in practice — or just want to know if the fraud rates on your own roles are as high as Daxko and OneSignal found — we'd love to show you.

Request a demo of Gem's AI Fraud Detection Agent.