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Meet us at GTC Berlin, October 20 to 22
Biometric identity verification is a powerful tool for preventing fraud, but it introduces a serious risk: the collection and storage of highly sensitive facial data that, once compromised, cannot be replaced. ALTR, Aware, and Protopia AI have developed a privacy-preserving approach that enables enterprises to verify identities and authenticate transactions without raw images.
Enroll. Verify. Sign.
Watch how a user enrolls their face in seconds, then verifies their identity to authorize a document signature without a password or knowledge-based security question.
The Challenge
Biometric verification offers a powerful defense against fraud, but the data required to make it work is uniquely sensitive. Conventional systems may retain face images or biometric templates for future matching, creating repositories of information that cannot simply be replaced if compromised.
The risks extend beyond storage. Processing biometric data can expose it across AI inference infrastructure, including runtime memory, logs, and supporting systems.
For ALTR, the challenge was to bring reliable biometric verification into enterprise applications without creating another repository of sensitive facial images.
Biometric profiles sit at the very top in terms of toxic data. Dangerous to have and to hold, because if they’re compromised the consequences can’t be undone. We wanted a way to use this kind of information in a safe and secure way.
The Solution
ALTR, Aware, and Protopia AI have developed a privacy-preserving approach to biometric verification that combines three complementary technologies:
Identity verification and transaction authentication
ALTR integrates biometric verification into enterprise applications through SAML, SDKs, and APIs. Each successful verification is cryptographically bound to the transaction, creating a tamper-evident record of identity and authorization.
Biometric matching and liveness detection
Aware provides the biometric models that verify identity and establish that a real person is present.
Biometric data protection
Protopia AI Stained Glass Transform converts biometric data into irreversible representations that only the target model can interpret, preserving their utility for verification while keeping raw images out of the verification pipeline.
A user captures a facial image, which Stained Glass Transform converts into a protected representation.
A subsequent facial capture is transformed and processed by Aware’s biometric models to verify identity.
ALTR binds the verification result to the account, document, or transaction.
The Impact
100,000+
ALTR’s biometric verification deployment is built to scale to more than 100,000 users across banking, healthcare, and other enterprise settings.
Biometric matching, liveness detection, and transaction authentication help organizations establish who is authorizing a transaction.
Eliminating the need to retain raw face images reduces the sensitive information organizations must manage and protect.
SAML, SDK, and API integrations enable biometric verification within existing applications, including legacy systems.
Talk to us about running AI on your most sensitive data, from biometrics to transactions.