I am developing an automated monitoring script to check inventory/status updates on a highly protected platform (specifically structured like Ticketmaster's checkout/queue endpoints).

Even when using premium residential proxies and clean browser sessions, the initial HTTP handshake or the second navigation step immediately triggers a `403 Forbidden` page ("Access Denied") or infinite challenge loops, without even rendering the actual visual captcha.

Here is the network response summary:
- Status Code: 403 Forbidden
- Headers observed: `X-Akamai-Edgescape`, `Server: akamai-nginx` (or similar high-tier WAF indicators)
- Behavior: The site requests a heavy telemetry script (generating complex payload variables like `_abck` or sensor data strings) before allowing access to the backend APIs.

What I have analyzed so far:
1. TLS Fingerprint: Standard HTTP client libraries (like `axios` or `requests` in Python) fail instantly due to JA3 fingerprint mismatches.
2. HTTP/2 Quirks: Changing the pseudo-header order (`:method`, `:path`, `:authority`, `:scheme`) standardizes the request but doesn't bypass the mitigation layer.
3. WebDriver Leaks: `navigator.webdriver` is set to `false`, and common automation properties are fully deleted.

Question:
When dealing with enterprise-grade anti-bot systems like Akamai on major ticketing sites, what are the primary telemetry indicators they extract beyond standard HTTP headers and TLS JA3 fingerprints? How can one accurately diagnose which specific browser fingerprint metric is failing the WAF's integrity check?