Candidate Misrepresentation: How Identity + Behavior Background Checks Improve Hiring
Discover how combining identity verification with online behavior screening can uncover candidate fraud, surface digital conduct risks, and protect your organization from costly bad hires.


Fama’s online screening makes hiring great people easy. We automate candidate screening and due diligence to help organizations, agencies, and VCs avoid workplace misconduct, prevent costly legal action, and improve quality of hire. Our AI technology compliantly searches 10,000 online public sources for 9 types of misconduct like fraud, threats, and violence. We’re FCRA, EEOC, and SOC2 compliant, and integrate with major HRIS, ATS, and background check solutions.

Ben Mones
CEO and Founder
Fama
Ben Mones is the CEO and Founder of Fama, an award winning AI-based software company trusted by thousands of talent acquisition teams from around the globe. He regularly appears in major media outlets and on podcasts, and is an expert on how technology is shaping society - particularly in the workplace. In addition to leading Fama, Ben serves on boards for a handful of high-growth startups and mentors entrepreneurs just starting out on their journey. Outside of work, you can find Ben on the basketball court or huddled over his smoker, cooking up a BBQ for his family of 4. He is based in Los Angeles, CA.

Matt Schneider
Head of Strategic Partnerships
Universal Background Screening
Matt Schneider is Head of Strategic Partnerships at Universal Background Screening, where he leads the technology and channel partnerships that bring innovative screening capabilities to Universal's clients. He's spent his career in background screening and HR technology, progressing from account representative to enterprise account executive before moving into partnerships, and holds an FCRA Core Certificate. Matt is focused on pairing traditional background checks with tools like online identity and behavior insights to give hiring teams a fuller picture of candidate risk and fit.