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Candidate Fraud Detection will automatically flag job applications with multiple potential fraud signals and segment them for manual review.

Please note that once candidate fraud detection is enabled, only new applications will be analyzed. Existing applications will not be reviewed.

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Overview

When candidate fraud detection is enabled, once an application is received, this tool will analyze four signal categories for newly submitted applications:

• Device
• IP Address
• Email address (only if this information has been provided as part of the candidate’s application)
• Phone number (only if this information has been provided as part of the candidate’s application)

The analysis of these areas is used to identify suspicious patterns that could be indicative of fraudulent activity.

Enabling the Candidate Fraud Detection Tool

https://www.loom.com/share/f0c65c2bec8d456eac794ae7f5a31c6e

Enabling fraud detection on all jobs

To enable fraud detection across all jobs by default:

• Navigate to Admin > Organization Setup > Security
• Check Enable Fraud Detection on All Jobs

Enabling/Disabling fraud detection for specific jobs

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By default, fraud detection will run across all jobs when enabled within the Security section of Admin. If you’d like to only enable fraud detection for specific jobs, or turn off fraud detection for certain jobs if you have it set as enabled by default, this is also possible.

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To access and amend the fraud detection settings for a specific job:

• Head to Jobs > Admin and select the job in question
• Navigate to the Settings section of said job
• Use the Enable Fraud Detection setting to enable or disable the tool as required

Fraud detection on candidate profile

A candidate’s application will be reviewed after submission. Once the application has been received, it will be analyzed and flagged based on the results.

If a candidate has been flagged, a Fraud Signals Detected button will appear at the top of the candidate’s profile. Click this to view the signal categories and a breakdown of the analysis in the Fraud Signals History popover. This will contain all checks performed for this candidate (including any checks run for previous applications).

If you have the AI Candidate Fraud Signal Summary option enabled within Admin > Organization Setup > Opt-in Features, the AI Summary will appear above the full list of results.

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Please note that AI Summaries are generated at the time of submission if this setting is enabled. AI Summaries will not be added to existing applications, only to new ones moving forward.

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As you review each signal, you can hover over the signal title to get more information on what is being evaluated. Any flagged signals will be listed above the signals checked so you can easily see what needs reviewing.

Once you’ve reviewed the data provided, you can choose from the following options:

Mark Fraud: Flag this as a fraudulent application. This will then trigger the process to archive the candidate with the Rejected by Organization: Fraudulent Candidate archive reason applied.

Not Fraud: Mark the flagging as a false positive and confirm the application is not fraudulent. The candidate will have a Fraud Signals - Cleared label added to their profile.

Unsure: Mark the application as Uncertain - Flagged for Monitoring so it can be re-reviewed later.

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If you need to update the fraud signals status on a candidate’s profile, you can click on the Fraud Signals label applied to the candidate’s profile to reopen the Fraud Signals History popover, then select the correct status.

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