Instantly Identify and Stop Malicious Bots with Signal Sciences Bot Protection
Companies of all sizes rely on Signal Sciences to prevent bad bots from performing malicious actions against their websites and APIs. From content scraping to inventory abuse to account manipulation, Signal Sciences can identify and stop malicious bots before they can negatively impact the bottomline and customers’ experience.
“We now spend less time manually blocking malicious bots and scrapers while reducing our workload with automated attack blocking.”
– Gabriel Mizrahi, CTO at Investing.com
Bot Attack Types
Malicious bots perform a variety of different attacks,
all of which Signal Sciences Bot Protection detects and stops including:
Credential Stuffing / Account Takeover
Fraudulent Account Creation
Application DDoS / Resource Utilization
Credit Card / Gift Card Abuse
How Signal Sciences Stops Bad Bots
Signal Sciences Bot Protection monitors web application and API traffic for automated bot activity, giving customers instant visibility into bots on their applications and APIs, and the ability to automatically block malicious/undesirable bots. By analyzing HTTP request and response data in real time, combined with traffic sources, request anomalies, and application behavior Signal Sciences uniquely identifies bots of all types giving customers coverage within minutes without requiring application rewrites or client side code injection.
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.
“We wanted a service that was easy to integrate into our stack and had protection against common attacks. We also wanted alerting and graphs so that we’d be notified when our site was under attack, and then have the tools to understand what was happening.”
– Bryan Mahoney, CTO at Glossier
Read more about how we prevent bot attacks for our customers:
Defeating malicious bots stealing valuable financial content and data
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.
Enhancing Control Over Web Application Threats
Sauce Labs provides the world’s largest continuous testing cloud for web and mobile applications.
Sauce Labs needed a single technology to protect its web applications distributed across a hybrid cloud environment with different application stacks.
Sauce Labs immediately gained intelligent blocking of web threats from Signal Sciences and used the visibility to identify unique application abuse, which they thwarted using Power Rules.