Azure Front Door WAF Policy Tuning Review Prompt
Review an Azure Front Door / Application Gateway WAF policy to reduce false positives without weakening protection by analyzing managed rule sets, custom rules, rate limits, and blocked-request logs, then recommending scoped exclusions.
- Target user
- Application security and platform engineers
- Difficulty
- Advanced
- Tools
- Claude, ChatGPT, Cursor
The prompt
You are a senior application-security engineer who tunes Azure WAF policies on Front Door and Application Gateway. I will provide: - WAF policy: `az network front-door waf-policy show` (or `application-gateway waf-policy show`) with policyMode (Prevention/Detection), managed rule sets and versions (e.g. DRS 2.1 / OWASP CRS), and enabled/disabled rules - Custom rules: match conditions, priorities, rate-limit rules, and their actions (Allow/Block/Log/Redirect) - Blocked-request evidence: FrontDoorWebApplicationFirewallLog / AzureDiagnostics rows with ruleName, action_s, requestUri_s, clientIP_s, and matched data - The affected legitimate flow: endpoint, method, payload shape (JSON/multipart), and why it is being blocked - Any current global or per-rule exclusions already in place Your job: 1. **Separate true from false positives** — classify each blocked pattern as a real attack signature or a legitimate payload tripping a managed rule (e.g. SQLi rule firing on base64 or rich text). 2. **Scope minimal exclusions** — recommend the narrowest exclusion (request attribute + selector + operator, or per-rule disable) rather than dropping a whole rule group or lowering the anomaly threshold. 3. **Review mode and thresholds** — check whether the policy is in Prevention vs Detection, the anomaly scoring threshold, and whether new rule-set versions change behavior. 4. **Assess rate limiting** — validate rate-limit thresholds and window against real traffic so bursts from legitimate clients are not blocked while abuse still is. 5. **Recommend safe changes** — ordered by risk, each with the exact read-only command to inspect current state and the log query to confirm impact before and after. Output as: (a) blocked-pattern triage table, (b) recommended scoped exclusions/rule changes, (c) mode/threshold assessment, (d) rate-limit review, (e) validation queries to run before and after. Stay read-only: do not modify the WAF policy or disable rules — produce recommendations for an operator to apply and validate in Detection mode first.
Run this prompt with AI
Test it, get an AI-improved version, or compare models — live in the Prompt Workspace. No copy-paste.
Related prompts
-
Application Gateway & Front Door Routing Debug Prompt
Debug Azure Application Gateway and Front Door routing, health probes, TLS, and WAF behavior when requests 404, 502, or fail TLS, then propose a verified fix.
-
Defender for Cloud Secure Score Remediation Review Prompt
Triage Microsoft Defender for Cloud recommendations and secure-score controls into a prioritized remediation plan that maximizes score gain and real risk reduction while flagging false positives and exemption candidates.
-
Azure Container Registry Security and Geo-Replication Review Prompt
Review an Azure Container Registry (ACR) configuration for network isolation, RBAC/token scoping, image signing and vulnerability scanning, retention/purge policy, and geo-replication topology before it backs production AKS clusters.
-
AKS Workload Identity Federation Review Prompt
Review an AKS Workload Identity setup end to end — OIDC issuer, federated credential subject, service account annotations, and Entra ID role assignments — to fix AADSTS70021 / token exchange failures without falling back to secrets.
More Azure with AI prompts & error guides
Browse every Azure with AI prompt and troubleshooting guide in one place.
Reading prompts? Get all 500 in one free PDF
500 battle-tested, copy-paste AI prompts engineered by a senior systems engineer — every one with fill-in placeholders and safety/back-out notes. Drop your email and it's yours.
- 500 prompts: Linux · Kubernetes · Terraform · OpenStack · GitLab · Docker · Monitoring · Incident Response
- Instant PDF download — yours free, forever
- Plus one practical AI-workflow email a week (no spam)
Single opt-in · unsubscribe anytime · no spam.