Socure, the provider of artificial intelligence for digital identity verification, sanctions screening, and fraud prevention, announced Selfie Reverification – a way to validate return consumers online with a simple selfie from any device in under 2 seconds.
The Selfie Reverification capability matches “an incoming selfie with the previously verified ID headshot photo submitted during onboarding with a 99.9% true match rate.”
The scan also detects signs of a deepfake, “as well as age discrepancy between the photo and the credential, to ensure the user is the rightful account holder.”
Socure’s Selfie Reverification builds “on the company’s Document Verification (DocV) product, which captures and validates photo IDs at onboarding with a 99% first-time selfie photo capture success rate, 98% accuracy in liveness detection, and a true acceptance rate of 98.2%.”
With identity attacks at an all-time high, “once validated good identities can go risky in an instant.”
Selfie Reverification allows simple, fast and accurate trust decisions “particularly important at the riskiest of moments – a high-value banking transaction, validating the identity of a babysitter-for-hire in an online marketplace, verifying age for alcohol deliveries. The use cases for critical identity trust re-verification are almost endless across the digital economy and throughout the customer journey.”
As importantly, Selfie Reverification has “integrated ‘liveness’ detection technology which ensures the person taking the selfie is actually present.”
This stops the most sophisticated spoofing techniques, “including face masks, image-of-an-image and deepfakes.”
As noted in the update:
“Selfie Reverification works seamlessly with our document verification solution guiding the user with real-time feedback capturing high-quality selfies. Simultaneously, it conducts Level 2 NIST PAD liveness checks and analyzes facial landmarks using our proprietary technology to prevent spoofing and stop deepfake selfie attacks without disrupting the user experience.”
Selfie Reverification enables organizations “across verticals including financial services, online gaming, eCommerce, the sharing economy and the public sector to ensure a positive customer experience, while mitigating fraud, and lowering opex costs due to a reduction in manual reviews.”
Across these sectors, Selfie Reverification is “a ‘Swiss Army Knife’ of rapid risk assessment across use cases and verticals.”
Use Cases Include:
Account Takeover Prevention
Selfie Reverification can be “an integral part of account takeover prevention by triggering a reverification when unusual account changes are made that can allow a fraudster to gain control of the account.”
Protection of High Risk Transactions
Large financial transactions and wire transfers “pose high risk as they can be initiated by someone other than the account owner. Selfie Reverification can be used as an additional – though frictionless – security measure to ensure that only the authorized user can perform these high-risk activities, protecting against fraud and saving consumers from devastating financial losses.”
Account Lock-Out No More
When users are locked out of their accounts or need “to recover access due to suspected fraud, Selfie Reverification provides recovery in an instant with a rapid selfie check. Socure’s high speed capture and accurate matching reduce the customer friction and operational costs typically resulting from traditional account recovery methods.”
Socure’s DocV stands out in the market because it “goes beyond verifying the validity of a presented ID to examine the correlation and risk related to the identity behind the credential – a powerful combinatorial capability unique to Socure.”
The solution maps and analyzes contextual data “on consumers, leveraging insights from Socure’s rich identity graph, which provides a view of whether the PII on the credential has been used with other identities, or was historically linked to risk.”
The solution also fuses device and phone ownership information, behavioral data, PII, and geolocation data “with document authenticity analysis, face image comparison, liveness detection, deepfake detection, and barcode detection–all built in-house, making it nearly impossible for a fraudster to create a digital doppelganger.”