How to Understand Azure WAF Blocks Before They Hurt Customers

Why WAF Blocks Need Context

WAF logs can show what the firewall evaluated, matched, and blocked. The challenge is turning that raw evidence into a practical decision: block more, tune a rule, update an API gateway policy, or investigate a malicious source.

Without a dashboard, teams often ask the same questions manually:

• Which IPs are generating the most blocked requests?
• Which URIs are repeatedly affected?
• Which rule IDs are most active?
• Is this attack traffic or a false positive?

The First Queries

The first useful view is usually blocked requests by IP and URI, followed by top matched rules and rule groups. That gives the platform and security team a shared language for deciding what to do next.

WAF Insights packages those investigation patterns into a product flow so users can upload a sample and see the first dashboard immediately.

False-Positive Workflow

False positives matter because they can quietly damage customer conversion. A payment route, login path, or API endpoint that gets blocked incorrectly can look like an application bug from the user's side.

The right workflow is evidence first: identify the URI, review the matched rule, compare request patterns, and only then tune safely.

Try It

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