Name: Stytch
Rating: 5.0 (23 reviews)

Hi Product Hunt Community! I’m Julianna, founder and CTO of Stytch. We’re a team that wants to make it easier for you to scale your applications and keep them secure. We’re excited to announce today a radical new approach to protecting applications and users against fraud and abuse. 🚩The Problem: Auth alone is no longer enough While we’ve spent the last few years focused on building better authentication infrastructure for developers, we’re seeing a worrying trend where threats are becoming more sophisticated and more pervasive - thanks in no small part to AI. Even the strongest methods can fall short and leave your app susceptible to: - Free tier abuse and programmatic fraud. Your app needs a better understanding of who each user is when they log in, going way beyond self-reported attributes. - Account takeover. Your app needs to evaluate what specifically a given auth method attests to, and how it interacts with other vectors. - Account theft. Social engineering, phishing, and session hijacking are all very difficult to mitigate unless your app is collecting low-level sub-signals to understand if the user is really who they claim to be. 🚫 Limitations of Current Solutions WAF and CAPTCHA only look at parts of the problem. These solutions are either incomplete, not very accurate or use blunt force methods that ruin the user experience. They’re reasonable as a first line of defense but work at a pretty broad level (e.g, IP address range) and can’t evaluate and shape traffic at a granular level. And they’re simply not built for the sophisticated attacks we see today. 🚀 Introducing Stytch Fraud and Risk Prevention Stytch’s new solution delivers the industry's most accurate and intelligent fingerprint-based solution. It’s completely integrated with our auth platform - or can be used as a standalone security product. It offers the most accurate device fingerprint using a broad collection of standard and proprietary signals from across: - Software stack and OS version - Browser sub-signals and capabilities - Passive network TLS fingerprinting - User attributes - Hardware architecture and resources And to combat advanced fraud, we’ve released these new cutting-edge features: * Security Rules Engine: For every fingerprinted visitor, Stytch returns a clear verdict of whether that visitor should be allowed, blocked or further challenged before being granted access. These rules are further configurable via either the Stytch dashboard or programmatically via our API. * Intelligent Rate Limiting: The Stytch solution also supports fine-grained rate limiting. Unlike network-focused solutions, when Stytch identifies a potential vulnerability it can limit the specific device or set of devices that are the offenders. Whereas other bot mitigation solutions might rate limit an entire IP address range, with both good and bad actors. * ML-Powered Device Detection: While the foundation of our fingerprinting solution is deterministic and rules-based, we’ve also introduced a machine learning model to accelerate device detection and categorization, further improving zero-day threat detection and overall user experience. Stytch's Fraud and Risk solution offers industry-leading accuracy in detecting bots and bad actors, even when methods like browser automation frameworks or user agent deception are employed. Unlike other fingerprinting solutions, it is resistant to reverse engineering and tampering, natively integrates with authentication, and delivers low latency for a seamless user experience. We think we’ve created something really special here and we’re eager for feedback from the Product Hunt community!

Lenny Rachitsky

Lenny’s Podcast

Hunter

📌

Hey Product Hunt, I’m thrilled to share Stytch’s Fraud & Risk Prevention solution with you today. I'm a huge fan of Stytch because they continue to innovate and rethink how authentication and fraud prevention can work for your product. Stytch’s new Fraud & Risk Prevention solution goes beyond basic identity verification, addressing critical issues such as programmatic fraud, compute abuse, and account takeover using advanced technology. The team is eager for your feedback as they continue to innovate in this space. Thanks for your support! 🚀

10mo ago

AnnaHo

Picture Picker—Collect,Create,Edit Image

@lenny_rachitsky Stytch’s Fraud & Risk Prevention solution is impressive, offering robust protection against bots and fraud with exceptional accuracy! I’m curious—will there be future enhancements that incorporate machine learning to adapt to evolving fraud patterns in real time?

Julianna Lamb

Stytch

Maker

@annaho2000 yes! We plan to continue identifying opportunities to incorporate ML into the product. Our intelligent rate limiting product does this already, identifying anomalies in traffic patterns and automatically blocking accordingly.

Antoni Kozelski

Evryface

@jelamb Hi Julianne!!! Congratulations to you and your team on the release of Stytch Fraud & Risk Prevention, threats are becoming more and more sophisticated and your product is the new solution

@antonikozelski thank you!

Robert Fenstermacher

Netlify

Super excited to be a part of this launch and get to hear from customers like Replit, Pixels and Hubspot that are already using this product as critical security infrastructure for their app to protect against bots, fraud and abuse

@bob_fenstermacher thanks Robert!

Stytch

User infrastructure for modern applications

Stytch Fraud & Risk Prevention

Stytch Launches

Do you use Stytch?

You might also like