BridgeView Verified / Screening Protocol

Every candidate passes through three layers of fraud mitigation before you ever see them

How we use an AI-powered process to ensure you never review a fraudulent candidate.

01 Pre-Screen
02 Identity + Location
03 Custom Assessments

See BridgeView Verified in action

A quick overview of how the three-layer screening process protects your hiring pipeline from candidate fraud.

Pre-Screen

Pre-Screen detects inconsistencies and fraud flags across LinkedIn, resumes, and phone/email before a candidate ever reaches your desk.

1.1

Candidate Summary

Flags inconsistencies across phone/email, resume history, and LinkedIn and GitHub profiles.

1.2

Contact Info Analysis

Analyzes validity and matching of the phone line, email, and name provided to flag potential fraud, including VoIP numbers and disposable identities.

1.3

LinkedIn and GitHub Scrub

Collects information across LinkedIn and GitHub to understand true work history.

1.4

Work Graph

Compares the LinkedIn scrub to the resume to create a work graph, flagging inconsistencies between the two such as overlapping employment periods.

Identity and Location Verification

Every candidate proves they are who they say they are, and that they are where they claim to be.

2.1

Verify Location Authenticity

Real-time IP tracking across every device confirms candidates are where they claim to be during assessments, with a full access history of source, location, IP hashes, device, and timestamp.

2.2

Identity Verification

Candidates take a photo of their government-issued ID and then take a selfie to verify their identification. Accepted documents include ID cards, passports, residence permits, and driver's licenses.

Customized Video and Technical Assessments

Assessments are built around your role and your team's real requirements, not generic test banks. Each one runs in sequence from your inputs to a live, fraud-monitored evaluation.

3.1

Job Description

We start with your job description to define the core skills and experience the assessment must validate.

3.2

Your Specific Needs

We layer in your team's real-world requirements: the exact tools, architectures, and scenarios the role will face on day one.

Inputs generate the assessment
3.3

Testing Simulation

Candidates complete a timed, hands-on technical challenge in a live coding environment that mirrors the actual work, not abstract puzzles.

Every session is monitored live
3.4

AI Fraud Detection

The assessment tracks 30+ fraud signals including screen sharing, deep-fake detection, and the use of LLMs, then delivers a full skills breakdown and integrity report for every candidate.

3
Layers of fraud mitigation on every candidate
30+
Fraud signals monitored live during assessments
100%
Of BridgeView candidates screened through Verified

How to Review BridgeView Verified Candidates

A walkthrough of how hiring managers review BridgeView Verified candidates and their screening results in Candidately.