Web applications increasingly face automated attacks, credential stuffing, and fraudulent traffic that bypass traditional security controls, leading to data breaches, revenue loss, and degraded user experience. Distinguishing legitimate users from bots or compromised browsers in real time is difficult without intrusive challenges that can deter customers. Existing solutions often rely on static blacklists or CAPTCHAs, which are insufficient against sophisticated evasion techniques.
Funding
Funding not disclosed
Founders
Product
Problem
Web applications increasingly face automated attacks, credential stuffing, and fraudulent traffic that bypass traditional security controls, leading to data breaches, revenue loss, and degraded user experience. Distinguishing legitimate users from bots or compromised browsers in real time is difficult without intrusive challenges that can deter customers. Existing solutions often rely on static blacklists or CAPTCHAs, which are insufficient against sophisticated evasion techniques.
Solution
The startup offers a cloud‑native network and browser verification platform that evaluates each request at the edge before it reaches the application. By combining IP reputation, TLS fingerprint analysis, device posture assessment, and behavioral anomaly detection, the service assigns a risk score to every session. Low‑risk traffic proceeds uninterrupted, while high‑risk requests are routed to adaptive challenges or blocked outright. The platform exposes RESTful APIs and lightweight SDKs for seamless integration with web, mobile, and API backends. All verification decisions are logged and can be fed into SIEM or fraud‑management systems for post‑event analysis. The solution is designed to comply with GDPR and CCPA, ensuring that user data is processed with privacy safeguards.
Target Audience
The primary customers are e‑commerce platforms, fintech services, SaaS providers, and digital media sites that require high‑throughput protection against automated abuse while preserving a frictionless user experience.
Features
- Real‑time IP and ASN reputation lookup with global threat intelligence feeds
- Browser and device fingerprinting using TLS handshake metadata, canvas, and WebGL signatures
- Machine‑learning risk engine that correlates network, device, and behavioral signals to produce a numeric risk score
- Adaptive challenge mechanisms (invisible reCAPTCHA, step‑up authentication) that trigger based on risk thresholds
- Edge deployment via CDN integration to minimize latency and offload verification from origin servers
- REST API and JavaScript/Swift/Kotlin SDKs for rapid integration across web, mobile, and API services
- Detailed audit logs and webhook notifications for security operations and compliance reporting
- GDPR‑compatible data handling with configurable data retention and anonymization options