The Shift Lab offers an anti‑bot platform that detects and blocks automated traffic in real time by analyzing request patterns, device fingerprints, and user behavior.
Funding
Funding not disclosed
Founders
Product
Problem
Websites and applications are increasingly targeted by automated bots that generate malicious traffic, leading to security breaches, data scraping, credential stuffing, and degraded performance for legitimate users.
Solution
The Shift Lab provides an anti‑bot platform that identifies and blocks non‑human traffic in real time. By analyzing request patterns, device fingerprints, and behavioral signals, the system distinguishes legitimate users from automated scripts. Detected bots are automatically filtered before reaching the protected resource, preserving site performance and reducing exposure to attacks. The solution integrates via lightweight APIs or JavaScript SDKs, allowing seamless deployment across web, mobile, and API endpoints without requiring extensive configuration.
Target Audience
Primary customers are e‑commerce platforms, financial services, SaaS providers, and any online businesses that need to protect their web or API interfaces from automated abuse.
Features
- Real‑time traffic analysis using machine‑learning models to detect bot signatures
- Multi‑layer verification including device fingerprinting, mouse/keyboard dynamics, and request rate monitoring
- Automatic blocking or challenge responses (CAPTCHA, JavaScript challenges) for identified bots
- Easy integration through RESTful API and client‑side SDK for web and mobile applications
- Dashboard with analytics on blocked traffic, bot types, and impact on performance