Greenhouse Real Talent

Build trust into every stage of hiring

Fraudulent applications, AI-generated resumes, and identity misrepresentation are increasing across industries. Real Talent is Greenhouse’s response.

Real Talent is a suite of products designed to help organizations reduce fraud, improve signal quality, and build trust across the hiring pipeline. It delivers triple layers of trust that help teams move faster with confidence while keeping humans in control of every decision.

The triple layers of trust

• Fraud and spam detection - Surface objective fraud signals and prevent obvious abuse from entering the pipeline.
• AI-assisted Talent Matching - Prioritize candidates using recruiter-defined calibrations, without automating hiring decisions.
• Identity verification - Confirm that a real person is behind the application through secure third-party verification.

Together, these layers help organizations protect recruiter time, reduce risk, and focus on qualified candidates.

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Feature overview and documentation

To support responsible adoption, documentation for Real Talent is organized into three categories:

• Operational readiness guides for Legal, Security, and TA alignment
• Setup guides to configure each feature in Greenhouse
• How-to guides for day-to-day usage

Below is a quick reference to each feature:

• Fraud detection - Fraud detection screens applications using objective digital signals to help identify potential identity misrepresentation.
• Spam blocklist - A customer-configured control that blocks known malicious IP addresses, email addresses, or domains before applications reach recruiters.
• Talent Matching - An assistive AI feature that matches resumes to recruiter-defined and weighted calibrations to help prioritize qualified candidates.
• Identity verification - Candidates confirm their identity directly in Greenhouse Recruiting through CLEAR®, a secure third-party platform using biometric and government ID verification.
  

Real Talent is designed to strengthen trust across your hiring process without removing human oversight. It is not about replacing judgment. It is about supporting it with better signal, stronger controls, and clearer visibility.

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