Bot management for Amazon CloudFront usually means AWS WAF Bot Control in a web access control list (web ACL), a list of rules attached to a distribution. Compare that setup with Peakhour using the bot traffic, valid clients and policy changes your team handles each day. CloudFront WAF setup.
What AWS WAF Bot Control provides
Bot Control has Common and Targeted inspection levels. Common labels known bot traffic and verifies desirable bots. Targeted adds browser checks, fingerprinting and behaviour analysis for bots that hide their identity. Custom AWS WAF rules can use its labels, which also appear in metrics and logs. AWS Bot Control guide.
Your team configures the web ACL, rule order, exceptions and actions. AWS maintains the managed rule group. AWS also offers rate-based rules with configurable request grouping and scope. Include your existing rules in the comparison. AWS rate-based rules.
Where Peakhour can help
Peakhour bot management brings IP and proxy information, fingerprints, request behaviour and route context into policy decisions. You can allow, log, challenge, rate limit or block traffic and review the request details behind the action.
For login and API abuse, Peakhour rate-limit zones can use headers, cookies, TLS fingerprints and HTTP/2 fingerprints as keys. Peakhour can count failures from server responses and use that history to limit later requests. Test which keys group abusive traffic usefully while preserving access for valid users.
Peakhour offers Peakhour Edge and existing-edge deployments, including CloudFront. Establish where inspection happens, which service enforces the result and which logs reach your team. Deployment needs configuration and testing.
Why keep AWS WAF Bot Control?
Keeping Bot Control may suit a team that already manages AWS WAF policies, CloudWatch metrics and log reviews. Its labels and custom rules provide a native way to tune bot handling. An existing AWS workflow can reduce the number of systems your team operates.
Consider Peakhour when you want to assess bot, WAF and response-based rate policies together, or need a shared approach across several delivery providers.
Evaluate browser and API traffic separately
Test browsers, mobile apps, direct API clients, approved crawlers and partner integrations. Measure unwanted requests reaching origin, valid requests challenged or blocked, and the time needed to explain a decision.
AWS recommends staging tests, followed by Count mode on live traffic. Count mode records rule matches and lets matching requests continue. AWS testing guidance.
Use the same routes and review period for both options. Record exceptions, client integration work, log access and rollback steps alongside the traffic results.
Contact Peakhour to assess your CloudFront traffic and plan a bot-management trial.
Official sources checked: 6 November 2026.