How we protect data

Privacy is the architecture

We made privacy a founding conviction long before regulation or the market asked for it.

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$0M+

committed to privacy in 2026

$0M+

invested in patented privacy technology

years of privacy-first expertise

Day-one decisions

Three day-one decisions about privacy

We made these privacy decisions at Incode’s inception. Thanks to emerging regulations and AI, they’re now more relevant than ever.

Decision 01

AI-first identity verification

Every set of human eyes on sensitive data carries a privacy risk. The industry accepted that as the cost of doing business. From day one, Incode made a different decision: minimize human access to biometric and identity data by design. Our AI-powered verification, liveness detection, and document-matching solutions are built to reduce manual review in the standard flow.

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Decision 02

On-device processing

Most verification processes send sensitive data off the user's device, creating continuous exposure. We remove that risk. For highly privacy-sensitive flows like age verification, our latest AI models process biometrics directly on the user's own device, with no tradeoff on accuracy or security. Sensitive data never needs to leave the user's environment to complete a verification.

Discover On-Device Age Estimation

Decision 03

Collaboration without exposure

Through the acquisition of Identiq, institutions can now detect repeat fraud patterns across a network without pooling or exposing customer personal data. Identiq brings nearly a decade of R&D and more than $50 million invested in patented privacy-enhancing technology. There are no central data lakes and no data brokerage, so the design minimizes the attack surface that traditional fraud collaboration once required.

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Ricardo Amper speaking on stage — Ricardo Amper

Founder & CEO

Incode

Incode protects the privacy of global enterprises

Go deeper

Go deeper into the privacy architecture

AI-first identity verification

Incode builds on its day-one decision to minimize human access to biometric and identity data.

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On-device processing

Run sensitive verifications without personal sensitive data ever leaving your customer’s device.

Discover On-Device Age Estimation

Device no biometric image ever leaves the device

Image capture

Inference

Age estimation Impersonation

Result Pass / fail shown to user

→ E2E encryption

← Scores + metadata (not PII)

Server

Injection check

Session signals

Score & result

Verification decision

Collaboration without exposure

Catch repeat fraud across the network without pooling your customers’ data.

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Network fraud intelligence

Company A

Company B

Company C

No central data lake

No data brokerage

Company D

Company E

Company F

Certifications & Recognition

Gartner Magic Quadrant for Identity Verification: Incode in the Leaders quadrant

Named a Leader in the Gartner® Magic Quadrant™
for Identity Verification for the third consecutive year. Download the report

Where to learn more

Privacy resources

Explore how the Incode Privacy Architecture can protect your business.

Privacy Architecture

Blog

Incode Transforms the Privacy Landscape With Strategic Investment and Identiq Acquisition

Press release

Incode Acquires Identiq to Power Privacy-First Fraud Detection

Webinar

How AI-First Identity Verification Enables Privacy at Scale

What's next

Let's connect.

Privacy-first architecture is the protection layer your customers demand. Discover how Incode's AI-first identity verification platform reduces fraud while remaining private and compliant.

See it in action