Monitor AI and ML Web Traffic with New URL Categorization
Skyhigh Web Gateway features dedicated Artificial Intelligence and Machine Learning categories under URL categories to enhance visibility, control, and policy enforcement for AI-related web traffic. These new categories enable advanced policy actions such as real-time inspection, coaching, and data protection, while also improving reporting and dashboard capabilities. By replacing legacy subscribe lists, this update enables more granular management of AI domains and better alignment with organizational security policies.
To learn how to block access to websites using web filtering rules, set risk levels for blocking, and create custom rules within a rule set, see Category, Reputation, and Geo — Block Access to Websites.
Key Capabilities
- These categories are now available under A.I & M.L. in the SSE URL catalog and can be used across policy engines for enforcement, coaching, DLP, and analytics.
- Artificial Intelligence
- Generative AI
- Machine Learning
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URL categories allow for:
- Block/Allow actions
- Coaching workflows
- Remote Browser Isolation (RBI)
- Data Loss Prevention (DLP) inspection
- Granular reporting and dashboard creation
- Real-Time DLP Integration. You can now apply Shadow DLP policies based on AI categories.
- Coaching Policies. Organizations can define coaching routines for specific user groups.
- Improved Categorization and Visibility. Blocks are correctly attributed to Artificial Intelligence, Generative AI, or Machine Learning, improving transparency and auditability. You can filter logs and dashboards by these categories to monitor traffic trends, policy hits, and user behavior.
- Reporting and Dashboards. URL categories support detailed traffic analysis:
- Filter logs by Artificial Intelligence, Generative AI, or Machine Learning.
- View allowed, denied, or isolated requests.
- Build dashboards to monitor AI-related activity over time.