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Fastly + Betterment: Autoscaling Production Application Security in Betterment’s CI/CD Pipeline
Technology Category
- Application Infrastructure & Middleware - Event-Driven Application
- Cybersecurity & Privacy - Application Security
Applicable Industries
- Electrical Grids
- National Security & Defense
Use Cases
- Supply Chain Visibility
- Tamper Detection
Services
- System Integration
The Challenge
Betterment, an online financial advisor with over $14 billion in assets under management and a user base of over 380,000 customers, needed a solution to protect customer PII and financial assets. The company spins up numerous web servers daily through its continuous integration and deployment (CI/CD) pipeline, making it crucial to know if, when, and how their user accounts might be under attack. The biggest concern for Betterment’s Engineering and Security teams was the signal-to-noise ratio. They needed a Web Application Firewall (WAF) that could automatically scale and accurately block attacks without increasing support call volume or creating more work for the teams. The solution also needed to be able to block attacks without requiring ongoing signature tuning or impacting performance.
About The Customer
Betterment is an online financial advisor with more than $14 billion in assets under management. The company supports a user base of over 380,000 customers who access its online platform. To cater to this large user base, the company spins up numerous web servers daily through its continuous integration and deployment (CI/CD) pipeline. The company's Engineering and Security teams were concerned about the signal-to-noise ratio and needed a solution that could automatically scale and accurately block attacks without increasing support call volume or creating more work for the teams.
The Solution
Betterment adopted Signal Sciences to reduce the workload of its Security team by automating deployment and updates, and providing quick access to informed insights without compromising performance. To provision Signal Sciences, Betterment’s Operations team wrote a simple Ansible playbook. This ensured that any new application instance would automatically have Signal Sciences modules and agents installed as a part of its CI/CD pipeline. Signal Sciences provided robust security coverage out of the box that could block malicious requests without impacting the performance and availability of the application or increasing Betterment’s attack surface. The solution also provided easy-to-use dashboards for visibility, surfacing and reporting any detected vulnerabilities to the respective team for timely remediation. Additionally, Betterment used Power Rules to prevent attacks against their unique application logic and keep financial data safe.
Operational Impact
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