Webinar

Detecting and Defending Against Candidate Misrepresentation

Discover how to spot and stop candidate misrepresentation with practical screening tactics, interviewer training, verification tools, and legally defensible documentation.

This webinar is over.

Presented by:

Kellison Rose,

Jen Jones,

Hannah Rodriguez,

and Frank Hauben

According to Gartner, by 2028, one in four job applicants could be entirely fake. From AI-generated resumes to deepfake interviews and third-party test takers, candidate misrepresentation is becoming more sophisticated — and more dangerous to ignore.

Do you have processes in place to weed out real from fake candidates without it becoming a time sink? How many fake candidates have already slipped through your process? Are your teams trained to detect deception before it reaches the offer stage? And if you do catch someone, are you documenting it in a legally defensible way?

This practical, eye-opening session will help TA, HR, and recruiting teams understand the red flags of misrepresentation and tighten their processes without overburdening the funnel. We’ll explore real-world tactics like live coding rounds, recruiter-led screening traps, interviewer training, and smart tooling to help you build a human firewall against fraud.

Whether you’re just starting to see the signs or already fighting sophisticated applicant fraud, this session will give you the tools and strategies to protect your hiring integrity.

Attendees Will Learn:

The most common signs of candidate misrepresentation – and how to spot them early
How to train recruiters and interviewers to recognize and respond to dishonest behavior
Legally defensible documentation strategies if misrepresentation is discovered
Tools and tactics for verifying authenticity during technical and non-technical interviews
How leading teams are turning their recruiters into a first line of defense

Sponsored by

CoderPad is a simple yet powerful online technical hiring platform. We empower teams worldwide to screen and interview best-in-class engineers with gamified assessments, take-home projects, and live paired programming interviews. Talent acquisition & engineering teams use CoderPad to hire developers with confidence. Over 4,000 companies, including 22 of the Fortune 100, leverage CoderPad to conduct 100,000+ live interviews and 80,000+ technical screens per month. Visit https://www.coderpad.io for more information.

About the speakers

Kellison Rose

Senior Manager, Talent Operations & Programs

Cedar

Kellison Rose is a Talent Operations professional specializing in recruiting strategy, process optimization, and analytics-driven decision-making. As Sr. Manager, Talent Operations & Programs at Cedar, Kellison builds scalable programs, metrics, and dashboards that improve efficiency and candidate experience.

Jen Jones

Senior Technical Recruiter

Cedar

Jen Jones is a systems-driven recruiting leader with 20+ years of experience scaling organizations through ethical, inclusive talent strategies. At Cedar, she integrates AI into recruiting with a focus on equity, governance, and impact, while contributing to enterprise strategy via Cedar's AI Guild. Her prior work at Reddit, Everlywell, and Whole Foods Market includes building engineering teams and embedding inclusive hiring design. Jen excels at turning complexity into clarity to build resilient, trust-driven talent systems.

Hannah Rodriguez

US Head of Talent Acquisition

Zip Co

Hannah Rodriguez is an artist, mom, and curious student of how people and systems work. She leads US Talent at Zip, partnering with CEOs and executive teams to build hiring functions that scale with speed, discipline, and decisions leaders can trust.

Frank Hauben

Global VP of Product and Design

CoderPad

Frank Hauben is the Global VP of Product and Design at CoderPad. Frank is building AI-powered interview tools that transform how companies hire technical talent. As AI changes what developers actually do day-to-day, Frank focuses on how technical interviews need to evolve to assess the skills that actually matter.