Stop Account Takeover and Credential Stuffing In Minutes with Signal Sciences
Whether small startups or the world’s largest enterprises, customers use Signal Sciences to stop ATO and credential stuffing attacks without false positives, breaking applications, or frustrating users.
“Getting Signal Sciences up and running is quick and easy. It was literally a five minute process: with just a few Signal Sciences rules changes specific to our authentication flows, we were able to effectively block account takeover attempts in production.”
– Robert Davis, Director of Cybersecurity, Chick-fil-A
Airline Rewards Programs
Hotel Rewards Programs
Gift Card Accounts
Any sensitive account functionality
Signal Sciences Prevents Account Takeover
Signal Sciences Account Takeover Protection detects and stops ATO attempts, protecting customer authentication flows in applications and APIs. Signal Sciences automatically monitors app and API login functionality for successes, failures, anomalous login behaviors, fraudulent account creation, and other suspicious activity and performs automatic correlation between anomalous logins and high risk account behavior such as gift card usage, address changes, credit card authorizations, password resets, and others. By analyzing HTTP request and response data combined with traffic sources, request anomalies, and application behavior in real time ATO defense allows customers to automatically block and alert on credential stuffing attacks.
Built To Work With Your Architecture
Signal Sciences is a hybrid software as a service (SaaS) solution with two main components: Server-side software that deploys in your infrastructure within minutes and our powerful cloud-hosted analytics backend.
Read more about how we prevent ATO attacks for our customers:
Preventing Wire Fraud
Snapdocs offers a loan closing automation application for the mortgage industry that provides a workflow for buyers, lenders, title and escrow representatives, and notaries.
To prevent fraud, Snapdocs sought to identify malicious actors’ requests and other attack event patterns to prevent account takeovers. Additionally, they wanted faster visibility into attackers’ web requests in order to trigger alerts to stop them.
To enhance the security of their digital toolset for mortgage closing, Snapdocs installed the Signal Sciences NGINX module and enabled blocking mode in production within 48 hours. After doing so, they not only blocked potential attacks but gained significant visibility provided by Power Rules.
Protecting Digital Transformation Assets with Automated Web App Security
Chick-fil-A, Inc. operates 2,400 restaurants in the United States with combined annual revenues of over $10 billion.
Chick-fil-A needed a flexible and effective web application security solution to protect key assets of their digital transformation strategy, including consumer-facing mobile and web apps that improve customer satisfaction and drive revenue growth.
Chik-fil-A chose Signal Sciences for both the ability to provide extensive context for web request blocking decisions and being easy to deploy.
Autoscaling Production Application Security in Betterment’s CI/CD Pipeline
Betterment is an online financial advisor with more than $14 billion in assets under management.
Betterment needed a solution to help protect customer PII and financial assets that could automatically scale and block attacks, without requiring ongoing signature tuning or impacting performance.
Since adopting Signal Sciences, Betterment’s Security team has seen its workload reduced by automating deployment and updates, and by getting quick access to informed insights without compromising performance.