Webinar Description
Key Takeaways
- Hands-on technical workshop addressing new account fraud through device intelligence
- Designed for developers, security engineers and product managers working on signup flows
- Covers bot detection, risk scoring and enforcing one-account-per-device policies
- Participants build fraud prevention logic using Fingerprint’s JavaScript agent
- Relevant to SaaS, FinTech and any platform vulnerable to trial abuse or referral fraud
Introduction
New account fraud remains one of the most persistent challenges facing online platforms. Bad actors routinely create multiple accounts to exploit trial credits, referral bonuses and promotional offers, costing businesses significant revenue while degrading the experience for legitimate users. Traditional countermeasures such as email verification, phone number validation and IP-based rate limiting have proven insufficient against sophisticated fraudsters who employ incognito browsing, VPNs and disposable credentials.
This virtual workshop, titled “The Device Intelligence Method to Stop New Account Fraud,” offers technical teams a practical approach to closing these security gaps. Led by Keshia Rose, Senior Developer Evangelist at Fingerprint, the session moves beyond theoretical discussion into guided implementation, giving participants working code they can adapt for their own platforms.
About This Event
Unlike conventional webinars that focus on product demonstrations, this workshop takes a build-first approach. Attendees follow along in real time as the instructor implements fraud prevention logic using Fingerprint’s device intelligence technology. The format allows participants to integrate a JavaScript agent for visitor identification directly into their development environments while the session progresses.
The workshop includes dedicated time for implementation questions, enabling attendees to address specific technical challenges related to their own signup flows. This interactive structure makes the session particularly valuable for teams actively working on fraud prevention initiatives or evaluating device intelligence as part of their security architecture.
How Device Intelligence Addresses Signup Fraud
Device intelligence operates on a fundamentally different principle than traditional verification methods. Rather than validating user-provided information such as email addresses or phone numbers, device intelligence identifies the physical device initiating a signup request. This identification persists even when users attempt to mask their identity through incognito mode, VPN services or browser manipulation.
The technical approach involves deploying a JavaScript agent that collects device attributes and generates a persistent visitor identifier. When a signup attempt occurs, the system checks this identifier against historical data and risk signals. If the same device has previously created accounts or exhibits suspicious characteristics, the platform can block the attempt or trigger additional verification steps.
This method proves particularly effective against coordinated fraud operations where bad actors systematically create accounts at scale. By enforcing one-account-per-device policies, platforms can dramatically reduce abuse while maintaining a frictionless experience for genuine new users.
Technical Topics Covered
The workshop curriculum addresses several interconnected aspects of device-based fraud prevention. Participants learn to implement bot detection mechanisms that distinguish automated signup attempts from human behaviour. Risk scoring techniques help teams calibrate their response to different threat levels, allowing legitimate edge cases through while blocking clear abuse patterns.
Integration guidance covers the practical aspects of deploying Fingerprint’s JavaScript agent within existing authentication systems. The session addresses common implementation challenges and provides patterns for incorporating device intelligence into signup workflows without disrupting user experience or creating technical debt.
Who Should Attend
The workshop targets technical professionals responsible for user onboarding security. Software engineers and security engineers working on authentication systems will find the hands-on coding segments directly applicable to their work. Product managers and technical leads evaluating fraud prevention solutions can use the session to understand implementation requirements and assess feasibility for their platforms.
Organisations most likely to benefit include SaaS companies offering free trials, FinTech platforms with referral programmes, and any online business where account creation represents a potential attack vector. The technical depth assumes familiarity with JavaScript and web development fundamentals, though the guided format accommodates varying experience levels with fraud prevention specifically.
Balancing Security and User Experience
A central theme throughout the workshop is maintaining usability while strengthening security. Overly aggressive fraud prevention measures risk alienating legitimate users through excessive verification requirements or false positive blocks. Device intelligence offers a path to stronger protection without proportionally increasing friction, since the identification process operates transparently in the background.
For growth teams concerned about conversion rates and security teams focused on risk reduction, this balance represents a critical consideration. The workshop addresses how to calibrate device intelligence implementations to achieve both objectives simultaneously.