Fraud Signals for AI Application Screening are currently available in beta. After the public beta ends, they may require credits to use. Details will be communicated within the product, and you will need to opt in to continue using the feature.
What Fraud Signals Check
Fraud Signals analyze multiple aspects of a candidate’s application:
Email Reputation
Evaluates the age and credibility of the email domain used in the application.Email Match
Checks whether the application email matches the email address(es) listed on the candidate’s resume.Prompt Injection Detection
Identifies attempts to manipulate screening systems through hidden or malicious prompts in uploaded files.Phone Number Reputation
Verifies whether the phone number listed on the resume is valid and trustworthy
Upcoming Signals
The following checks are planned and will be available soon:
AI Overuse Detection
Flags excessive or suspicious use of AI-generated content in resumes, while allowing normal AI-assisted formatting and editing.Keyword Overuse Detection
Detects attempts to game screening systems by overloading resumes with keywords.Public Profile Cross-Checks
Confirms whether linked profiles such as LinkedIn or GitHub exist and are consistent with the application.
Where to Find Fraud Signals
Fraud Signals are visible:
In candidate tables
On individual candidate profiles
Managing Signals
Signals can be manually overridden when needed, for example in cases of false positives.
All overrides are logged for transparency and audit purposes.
