The challenge

Identity checks were built for humans. Attackers now use AI.

Banks and card issuers still verify customers with a password, a selfie or a phone call. Every one of those can now be faked.
346
AI incidents recorded in 2025 — 179 involved deepfakes
$547M
Deepfake fraud losses in H1 2025, double the prior year
$47B
US identity fraud and scam losses in 2024
$40B
GenAI-enabled US fraud by 2027, up from $12.3B in 2023

How attacks work today

Every traditional check has an AI bypass.

Selfie checks

Deepfake video and face-swap tools generate a convincing live face that passes standard selfie verification.

Voice verification

A few seconds of public audio is enough to clone a customer's voice for phone-based authentication.

Passwords & OTPs

Credentials are phished at scale and sold in bulk; static passwords stay valid long after they leak.

Data sprawl

Customer data is copied to merchants and partners with no expiry — every copy is another point of breach.

The result is fast-growing fraud losses for institutions and a collapse of trust in digital identity for customers. Adding one more single check doesn't solve it — an attacker using AI only needs to beat one layer at a time. What's needed is a system that requires every layer to be defeated at once, and that stops data from living forever in other people's systems.

Building the privacy layer for AI-era finance.

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