How Sorinify Uses AI to Block Threats

Traditional threat detection relies on blocklists — databases of known bad URLs. The problem? New threats slip through until they are manually added.

Some competitors try to fix this by running AI models inside your browser after the page loads — but by then, malicious code may already be executing. Sorinify runs its ML models server-side: we fetch suspicious page content, analyse titles, text, brand mentions, and file extensions on our infrastructure, and return a verdict before anything reaches your browser.

Trained on over 10 million websites, our ensemble of detectors — homograph analysis, phonetic matching, entropy scoring, brand cross-referencing — identifies threats based on patterns, not just signatures. Zero-day phishing, new scam sites, and unknown malicious URLs are caught because we recognise how threats are built, not just where they have been seen before.