AI Firewall - Bot Verification - JA4
Enterprise AI Crawler Firewalls & Bot Management
Enterprises are bleeding server costs because model-training scrapers steal data at scale, while malicious bots use headless browsers like Playwright to impersonate real users. We deploy JA4 TLS fingerprinting and cryptographic bot verification at the edge: block data thieves, allow live retrieval, and protect AI search visibility.
Crawler Policy Matrix
Not every bot deserves the same response.
Blocking every AI user agent destroys answer-engine visibility. Allowing every bot burns compute and exposes data. We classify intent at the edge and return the correct response before requests touch expensive application paths.
| Crawler Class | Examples | Edge Action |
|---|---|---|
| Training scrapers | GPTBot, CCBot, FacebookBot | 403 block at the edge before origin compute is spent. |
| Spoofed search bots | Fake Googlebot or bingbot user agents | CIDR manifest check plus rDNS and forward DNS verification. |
| Headless automation | Playwright, undetected-chromedriver, scripted Chromium | JA4 TLS fingerprint blocklist and anomaly headers. |
| Live retrieval agents | PerplexityBot, ChatGPT-User, OAI-SearchBot, Claude-Web | Explicit allow rules so AI search visibility remains intact. |
JA4 TLS fingerprinting
We inspect edge-injected JA4 fingerprints to identify automation stacks that hide behind normal browser user agents.
Cryptographic bot verification
Search bots are verified against IP manifests first, then reverse DNS plus forward DNS confirmation when needed.
Crawler allow and deny policy
We separate revenue-positive live retrieval agents from resource-draining model-training scrapers.
Asset rate limiting
Unverified bot-like traffic hitting static assets is rate limited while verified search bots receive immutable cache headers.
Stop paying for hostile crawlers.
We protect serverless compute, static assets, and private business logic while keeping verified search and live-retrieval agents open for discovery.
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