AI-Powered Web Application Firewall (WAF)

An AI-Powered Web Application Firewall (WAF) provides next-generation security by leveraging machine learning and automation to detect and mitigate cyber threats faster and more efficiently than traditional or cloud-based WAFs.

Our AI-Powered WAF has achieved over 99% malicious content detection rate. It has stronger protection against sophisticated attacks detects and mitigates SQL Injection, XSS, SSRF, CSRF, RCE, RFI, LFI, and buffer overflow including known WAF bypass techniques

Traditional web applications require extensive security validation code across different languages and frameworks - PHP input validation, Java security filters, C# request sanitization, etc. This creates several challenges:

• Development Overhead: Engineers spend countless hours writing and maintaining validation code.
• Inconsistent Protection: Different validation implementations across languages can lead to security gaps
• Static Rules: Traditional WAFs rely on fixed rule sets that can't adapt to emerging threats
• False Positives: Rigid pattern matching often blocks legitimate traffic
• Maintenance Burden: Security rules need constant updates across multiple codebases

How AI-powered WAFs fundamentally change this paradigm:

1. Intelligent Request Analysis

• Uses machine learning to understand normal vs. malicious traffic patterns
• Adapts to your application's specific traffic profiles
• Detects zero-day attacks through behavioral analysis

2. Automated Protection

• Eliminates need for manual validation code in application languages
• Provides consistent security across all endpoints
• Automatically updates protection based on new threat data

3. Framework Agnostic

• Works with any web framework or language:
  • Node.js/Express
  • PHP/Laravel
  • Python/Django
  • Java/Spring
  • .NET/ASP.NET
  • Ruby on Rails