Authenticity confidence surfaces signals of inconsistent, misleading, or unverifiable information. Filter candidates by authenticity confidence or individual risk signals to highlight genuine candidates.
SquarePeg checks each candidate's LinkedIn URL against million profiles, updated monthly to flag profiles using signals that may indicate a fabricated or misrepresented identity.


Catch phone numbers that are invalid, incorrectly formatted, or unable to receive calls, along with voicemail-only, toll-free, and non-fixed VoIP lines. SquarePeg also flags numbers with limited recent call activity or a registered name that doesn't match the candidate's application.

Identify disposable or low-reputation email providers, addresses with little presence in public records, and emails whose registered name doesn't match the name on the application.

Flag resumes with excessive or exact alignment to your job description's structure and language — a sign an applicant may have manipulated their resume to match the posting.

Every candidate receives an authenticity confidence rating and low confidence candidates are easily identifiable. Filter candidates by confidence level or individual signals and optionally disposition to manage candidate pools efficiently.
Identify applicants who have provided an invalid phone number or LinkedIn profile, have limited LinkedIn connections, or a recently created LinkedIn despite an extensive work history.
SquarePeg adds AI-powered applicant screening, sourcing, rediscovery, and fraud detection to any ATS. Evaluate candidates with transparent, glass-box scoring you can trust, and only pay for what you use.
As an AI company, SquarePeg gives us a lot of credibility. It has saved us so much time on screening and improved quality of hire.

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SquarePeg adds AI-powered applicant screening, sourcing, rediscovery, and fraud detection to any ATS. Evaluate candidates with transparent, glass-box scoring you can trust, and only pay for what you use.
