Plaid Identity Verification
- Ushank
Plaid Identity Verification lets you verify your customers' identities and seamlessly stitches together verification methods. Using Identity Verification, you can verify identification documents, phone numbers, names, dates of birth, ID numbers, addresses, and more. Identity Verification integrates directly with Monitor for an end-to-end verification and KYC solution.
The Identity Verification Base fee includes SMS verifications, phone fraud signals, email fraud signals, IP address fraud signals, device ID fraud signals, network fraud signals, and user nurturing campaigns for each IDV session |
The Identity Verification Document fee includes a documentary verification for each IDV session |
The Identity Verification Selfie Check fee includes a liveness verification for each IDV session |
The Identity Verification Lightning Verification fee includes database verifications, address autocomplete, and address standardization and validation for each IDV session. These records are sourced from high-quality, trusted databases such as voter and driver registration, property, and credit bureau records. |
Plaid Official Document - We are a reseller of plaid; hence, no contract is required.
Video (3 Minutes) -
Plaid Identity Verification Process
Plaid Identity Verification can also be used together with Plaid Identity in a single workflow to provide full identity verification and fraud reduction. Identity Verification is used to verify that the user of your app is the person they claim to be, while Identity is used to confirm that the ownership information on their linked bank or credit card account matches this verified identity.
 Identity Verification can be used to verify end users in nearly 190 countries. To integrate with Identity Verification, your company must be based in the US, Canada, or UK (support for additional countries coming soon).
 Plaid offers a variety of verification checks to choose from. You can combine multiple verification checks within a single Identity Verification template via the Workflow Management editor, and even run certain checks conditionally, such as only running a particular verification if another verification fails, or running different checks based on your user's country of origin.
Lightning Verification verifies a user's name, address, date of birth, phone number, and ID number (such as SSN) against available records. These records are sourced from high-quality, trusted databases such as voter and driver registration records, property records, and credit bureau records. You can configure the level of matching required for each field in your template’s Identity Rules. The results of this check will be summarized in the kyc_check object in the API.
 Document Verification prompts the user to upload an image of an identity document. Plaid will use anti-fraud checks to verify that the document appears to be legitimate and is unexpired. Plaid will also verify the date of birth and name on the document against the data provided by the user (other fields that may be present on the document, such as address or national ID number, will not be verified). You can review and configure which document types are supported for each country.
 When Selfie Check is enabled, the user will be asked to take a selfie as part of the verification process. Plaid will verify that the selfie submitted is a live video of a real human. If Document Verification is enabled, Selfie Check will also verify that the selfie matches the photo in the document.
 SMS Verification will verify a user's phone number by asking them to enter a code sent via SMS.
 If you're also using Monitor, AML Screening allows you to screen a user against government watchlists during an IDV session by incorporating one of your Monitor screening programs into an IDV template.
 Plaid automatically runs anti-fraud checks in the background of a user’s verification session and summarizes the results into several categories. The data collected in each category is analyzed and assigned a risk level. Whether the overall risk check passes or fails is determined by the template’s Risk Rules, which you can configure.
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