Biometric authentication
One selfie matches the returning user 1:1 against the enrollment from onboarding, with facial recognition ranked #1 by NIST among full-solution IDV providers.
Authentication
Authenticate people with just their face
Passwords get phished and codes get intercepted. Let returning customers sign in with a glance, matched to the identity verified at onboarding.
The problem
The password lets in anyone who has it
Credentials leak, one-time codes get intercepted, and generative AI now impersonates real faces on demand. Every login that trusts a secret is a login a criminal can pass.
0%+
of US organizations rank account takeover among their top business threats
Experian
0%
growth in fintech deepfake incidents in a single year
Deloitte, 2024
50-59%
human accuracy spotting deepfakes, barely better than chance
Cooke et al., 2024
<1 min
to generate a convincing deepfake with free AI tools
MIT Technology Review, 2023
How it works
Four steps to sign in the returning customer
The foundation
Three intelligences behind every sign-in
A password proves possession of a secret. A face login proves the person. Three layers run on every sign-in, tuned to your risk appetite.
Explore the platformLiveness and deepfake defense
iBeta-certified passive liveness proves a live human while Deepsight screens every capture for deepfakes, video injection, and device tampering.
Risk intelligence
Device signals and network history score every session in real time, so everyday logins stay one glance and risky ones ask for more.
Where it applies
One face login, every channel
The same enrollment answers everywhere your customers sign in, so the experience stays consistent and the weakest channel stops being the way in.
Mobile app sign-in
Returning customers open the app and sign in with a glance, no password to remember.
Web sign-in
The same face login runs in the browser, with no app install required.
Call-center verification
A selfie confirms the caller in seconds, replacing knowledge questions.
Account recovery
Locked-out users recover access with their face, not an emailed reset link.
Second-factor replacement
The face stands in for the SMS code wherever a second factor is required.
Returning after inactivity
Dormant customers pick up where they left off, with no re-enrollment.
Make it unmistakably yours
Theme every sign-in screen from Incode Studio: your logo, colors, fonts, copy, and corner radius, without touching the flow or its decisions underneath.
Learn moreEmbed it inside your app
iOS, Android, and Web SDKs drop face login straight into your product. Fully white-label: your look, your feel, your flow, on every platform.
Learn more
Products
The products behind every sign-in
Each face login draws on the same integrated product stack.
Verified proof
Banks, carriers, and marketplaces authenticate with Incode.
#1
in NIST's facial recognition benchmark among full-solution IDV providers.
8 of 10
top U.S. banks choose Incode
7 of 8
top U.S. carriers trust Incode
4.1B+
identity checks processed
What customers say
“With over a decade of experience in the cybersecurity space, I've encountered many solutions attempting to balance security and user experience, but not many have matched Incode's success. Incode has struck the perfect balance, automating identity verification while effectively catching 99% of fraud.”
Vice President, Client Advocacy & Success · Financial Enterprise
What is face authentication?
Signing in with a selfie instead of a password or one-time code. The capture is matched 1:1 against the identity verified at onboarding, with passive liveness confirming a real person is present.
How is it different from passwords and one-time codes?
Passwords and codes authenticate a secret or a phone number, and both are stolen at scale. A face login authenticates the person, matched against the enrollment created when the account was opened.
Do returning users have to enroll again?
No. The face verified at onboarding is the credential. Every later login reuses it, with no re-enrollment and nothing new to remember.
How does it stop deepfakes at login?
Every sign-in runs the same Deepsight deepfake, injection, and device-tampering detection as onboarding, alongside iBeta-certified passive liveness, so synthetic media fails where a stolen password would have passed.
Which channels does it work on?
iOS, Android, and Web SDKs cover the app and the browser, and call-center flows confirm a caller with a selfie instead of knowledge questions. One enrollment works across all of them.
What's next
Replace the password with the person
See face authentication on your own sign-in flows.