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Advanced URL Filtering uses live inline analysis and PAN‑DB lookup to detect threats instantly and block malicious URLs before they reach users.
Advanced URL Filtering leverages deep learning and generative AI to catch evasive phishing, cloaked malicious pages, and credential theft in real‑time.
Advanced URL Filtering works with Palo Alto Networks NGFW, virtual VM/VM‑series firewalls, Prisma Access, and Cloud NGFW on AWS or Azure environments.
Requires an active Advanced URL Filtering subscription (or legacy license) and PAN‑OS 9.0+ (real‑time inline on PAN‑OS 10.2 and later).
Logs include real‑time‑detection entries, and detailed reports are available via firewall dashboards for visibility and compliance.
Instantly stops malicious URLs using live ML analysis and PAN‑DB coverage.
Deep learning and generative AI detect evasive and zero‑day threats.
Custom categories, risk ratings, SSL decryption options, and credential protection.
Delivered as a cloud subscription through your firewall—no extra hardware needed.
Netmate Information Technology delivers trusted expertise and tailored support to help your business stay secure, connected, and future-ready.
Advanced URL Filtering merges Palo Alto’s PAN‑DB database with real‑time, inline machine learning analysis to categorize and block dangerous URLs. It prevents access to both known malicious sites and newly emerging web-based threats like phishing, malware, and command‑and‑control URLs
Real‑time URL protection analyzes requests at the moment users click a link—not just when updating the threat database. This closes the “window of exposure” attackers exploit by launching threats before they’re officially flagged, ensuring a faster response to new dangers.
It’s supported on:
Yes. You need an active Advanced URL Filtering subscription (or legacy URL Filtering license). With PAN‑OS 10.2+, the inline ML feature becomes available for real-time protection. Existing URL Filtering profiles automatically start sending risky URLs for cloud analysis.
It uses deep learning and inline ML to detect phishing tactics like cloaked login pages, fake CAPTCHAs, and obfuscated JavaScript. When suspicious, it blocks credential submissions or rewrites pages to prevent user’s corporate credentials from being exposed.
