CypherFace is an AI-powered platform designed to stop payment fraud using facial recognition
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CypherFace, a U.S.-based fintech company, developed an AI-powered facial recognition platform that eliminates payment fraud at the point of transaction. The company’s founder, Syed Samir Hassan, launched the business in early 2024 to create a product that verifies identity in real time using facial biometrics, completely replacing cards and passwords.
CypherFace’s facial biometric API integrates directly into payment systems and confirms user identity through facial mapping and liveness detection. Internal validation metrics show the system successfully prevents 99.7 percent of fraudulent payments using encrypted biometric identity instead of static credentials.
Hassan responded to persistent failures in traditional fraud detection tools by building CypherFace, which stops unauthorised transactions before they begin.
“Fraud breaks the trust required to do business,” Hassan said. “We created CypherFace to eliminate fraud at the transaction layer itself.”
Encrypted biometrics replace card-based systems
CypherFace equips businesses with a seamless alternative to static identity checks. Its API and mobile app allow users to verify themselves using facial recognition, replacing PINs, CVVs, and easily compromised authentication methods.
The company encrypts biometric data during capture, verification, and audit—ensuring all information remains isolated and inaccessible to outside systems. CypherFace complies with current data protection frameworks, including Know Your Customer and Anti-Money Laundering protocols.
Retailers, fintechs, and banks integrate CypherFace directly into their user flows. This simplifies onboarding and transaction verification, reducing fraud exposure while preserving a seamless customer experience.
Businesses regain control over identity infrastructure
Rather than retrofitting outdated security layers, CypherFace replaces the weakest link: the assumption that data alone can prove identity. By tying real-time facial presence to every high-risk transaction, the platform helps businesses intercept fraud before it reaches the point of dispute.
In pilot programs, fintech and retail platforms using CypherFace saw fraud-related chargebacks drop by over 60%, and false declines fall by nearly 30% within the first 60 days.
According to Juniper Research, global losses from online payment fraud reached $38.5 billion in 2023, with synthetic identity fraud growing by more than 130% year-over-year. Merchants and payment providers increasingly struggle to keep up with fraud tools that can no longer distinguish between a real customer and a fabricated profile.
One early partner—a ticketing platform dealing with high refund abuse—implemented CypherFace as a second-layer identity check. Within weeks, they were able to flag over 700 transactions that would have otherwise been approved, identifying deepfake attempts and account takeovers previously missed by their existing fraud stack.
“We designed an entirely new system that gives merchants full visibility and significantly reduces risk,” Hassan said.
Deployment strategy built for immediate results
CypherFace’s team completed product development in 10 months and launched a production-ready API and mobile app, now live on iOS and Android. The company actively engages financial services and retail partners for onboarding.
Over the next 12 months, CypherFace will expand into Canada and Mexico—markets with high fraud exposure and strong demand for fraud prevention tools. The company’s platform is ready for direct integration and cross-border deployment.
CypherFace unifies identity verification and fraud prevention into one real-time infrastructure layer. The platform delivers measurable security returns for businesses seeking practical, scalable protection at every transaction.