WORKSHOP

SEPT 16

9AM PT / 12PM ET

SEPT 16

Live Build

The Device Intelligence Method to Stop New Account Fraud

How do you tell a real new user from a bad actor spinning up their fourth account?

Fake signups built to farm trial credits, referral bonuses, and promos are one of the most common abuse vectors we see. Most teams reach for email verification, phone verification, or a rate limit on IP address. Bad actors route around all three in seconds, and real users get punished on the way.

Device intelligence closes that gap. Identify the device at the moment of signup, check it against risk signals, then block repeat accounts from the same one. In this session, Keshia Rose builds that flow live, using the same signals and logic behind Fingerprint's own signup protection.

This is a guided build, not a demo. Open your editor, clone the starter repo, and write the code alongside Keshia. Bring your own signup flow and the questions that come with it. The last 15 minutes are set aside for implementation guidance and Q&A.

Register

We're committed to your privacy. You may unsubscribe from our communications at any time.

What you'll build

Add the JavaScript agent to a signup page and retrieve verified visitor data server-side

Check bot detection and Suspect Score before an account is ever created

Enforce a one account per device rule using the visitor ID

Block repeat signups even from incognito windows or behind a VPN

Speaker

Keshia Rose

Sr. Developer Evangelist

@ Fingerprint

Speakers

Keshia Rose

Sr. Developer Evangelist

@ Fingerprint

Register

We're committed to your privacy. You may unsubscribe from our communications at any time.

WORKSHOP

SEPT 16

9AM PT / 12PM ET

SEPT 16

Live Build

The Device Intelligence Method to Stop New Account Fraud

How do you tell a real new user from a bad actor spinning up their fourth account?

Fake signups built to farm trial credits, referral bonuses, and promos are one of the most common abuse vectors we see. Most teams reach for email verification, phone verification, or a rate limit on IP address. Bad actors route around all three in seconds, and real users get punished on the way.

Device intelligence closes that gap. Identify the device at the moment of signup, check it against risk signals, then block repeat accounts from the same one. In this session, Keshia Rose builds that flow live, using the same signals and logic behind Fingerprint's own signup protection.

This is a guided build, not a demo. Open your editor, clone the starter repo, and write the code alongside Keshia. Bring your own signup flow and the questions that come with it. The last 15 minutes are set aside for implementation guidance and Q&A.

Register

We're committed to your privacy. You may unsubscribe from our communications at any time.

What you'll build

Add the JavaScript agent to a signup page and retrieve verified visitor data server-side

Check bot detection and Suspect Score before an account is ever created

Enforce a one account per device rule using the visitor ID

Block repeat signups even from incognito windows or behind a VPN

Speaker

Keshia Rose

Sr. Developer Evangelist

@ Fingerprint

Speakers

Keshia Rose

Sr. Developer Evangelist

@ Fingerprint

Register

We're committed to your privacy. You may unsubscribe from our communications at any time.

WORKSHOP

SEPT 16

9AM PT / 12PM ET

SEPT 16

Live Build

The Device Intelligence Method to Stop New Account Fraud

How do you tell a real new user from a bad actor spinning up their fourth account?

Fake signups built to farm trial credits, referral bonuses, and promos are one of the most common abuse vectors we see. Most teams reach for email verification, phone verification, or a rate limit on IP address. Bad actors route around all three in seconds, and real users get punished on the way.

Device intelligence closes that gap. Identify the device at the moment of signup, check it against risk signals, then block repeat accounts from the same one. In this session, Keshia Rose builds that flow live, using the same signals and logic behind Fingerprint's own signup protection.

This is a guided build, not a demo. Open your editor, clone the starter repo, and write the code alongside Keshia. Bring your own signup flow and the questions that come with it. The last 15 minutes are set aside for implementation guidance and Q&A.

Register

We're committed to your privacy. You may unsubscribe from our communications at any time.

What you'll build

Add the JavaScript agent to a signup page and retrieve verified visitor data server-side

Check bot detection and Suspect Score before an account is ever created

Enforce a one account per device rule using the visitor ID

Block repeat signups even from incognito windows or behind a VPN

Speaker

Keshia Rose

Sr. Developer Evangelist

@ Fingerprint

Speakers

Keshia Rose

Sr. Developer Evangelist

@ Fingerprint

Register

We're committed to your privacy. You may unsubscribe from our communications at any time.

WORKSHOP

SEPT 16

9AM PT / 12PM ET

SEPT 16

Live Build

The Device Intelligence Method to Stop New Account Fraud

How do you tell a real new user from a bad actor spinning up their fourth account?

Fake signups built to farm trial credits, referral bonuses, and promos are one of the most common abuse vectors we see. Most teams reach for email verification, phone verification, or a rate limit on IP address. Bad actors route around all three in seconds, and real users get punished on the way.

Device intelligence closes that gap. Identify the device at the moment of signup, check it against risk signals, then block repeat accounts from the same one. In this session, Keshia Rose builds that flow live, using the same signals and logic behind Fingerprint's own signup protection.

This is a guided build, not a demo. Open your editor, clone the starter repo, and write the code alongside Keshia. Bring your own signup flow and the questions that come with it. The last 15 minutes are set aside for implementation guidance and Q&A.