Signal collection
Passive fingerprinting gathers 300+ signals per session: TLS and HTTP/2 characteristics, runtime environment, input dynamics and navigation patterns. Page performance is unaffected.
Phylaxa inspects web, mobile and API traffic through a single LLM-driven pipeline. Raw signals go in; an enforceable verdict comes out in milliseconds.
Three layers work together on every request: signal collection, LLM-driven analysis, and inline enforcement.
Passive fingerprinting gathers 300+ signals per session: TLS and HTTP/2 characteristics, runtime environment, input dynamics and navigation patterns. Page performance is unaffected.
A purpose-built language model trained on billions of labeled human and automated sessions evaluates each session's behavior. Deterministic anomaly models cross-check every verdict.
Each request gets back a 0–100 risk score and an action: allow, monitor, throttle, challenge or block. Verdicts are enforced inline at the edge or returned via API, and every verdict is audit-logged.
Continuous learning keeps detection ahead of adversaries without manual rule tuning.
Anonymized attack and human traffic is sampled across the protected network.
Sessions are labeled through analyst review, honeypots and outcome feedback.
Detection models are fine-tuned weekly and validated against red-team attack suites.
New models roll out globally in minutes with automatic rollback on regression.
Pick the integration point that fits your stack — or combine them for defense in depth.
Lightweight libraries for Node.js, Python, Go, Java and Ruby. Score requests with three lines of code and full control over enforcement.
Native integrations for major CDN and edge platforms. Inline verdicts with under 5 ms median latency, no origin changes required.
A regional REST and gRPC API for custom stacks, mobile backends and batch analysis, with regional data residency options.
Phylaxa streams decisions and telemetry to the tools your team already uses.
Six domains, one decision engine. Phylaxa covers the abuse vectors that cost you revenue: login, checkout, and your public content.
Stolen credentials and automated takeover attempts make your login endpoint the attacker's front door.
Phylaxa reads intent across the full login and registration journey and stops takeover before it becomes loss. Real customers see fewer lockouts and less MFA friction.
Scrapers strip your pricing, catalog and original content — and you pay the infrastructure bill for serving them.
Phylaxa separates good bots from hostile ones. Search engines get through; competitors and content thieves don't. Your pricing stays private, your content stays yours, and your origin serves customers instead of scrapers.
LLM crawlers and autonomous agents now act on your site. They train on your content, place orders and open accounts without telling you who they are.
See the identity and intent of every AI visitor, and set per-endpoint policy — allow, monitor or block. Shut out the agents you don't want; monetize the ones you do.
Payment fraud and promo abuse hit the checkout directly — no account history required.
Phylaxa scores guests with no account history, so stolen cards are stopped before the charge goes through. Limited releases reach real customers, not resellers.
The costliest abuse never touches your login: SMS pumping, fake leads, junk content and application-layer floods.
Protection moves upstream to every OTP, ad and form touchpoint. You stop paying for fake traffic before the invoice arrives.
Mobile apps and JavaScript clients get unpacked, intercepted, tampered with, repackaged, and emulated by device farms posing as real users.
Layered hardening for web and mobile clients: JavaScript virtualization obfuscation, anti-debug and anti-injection defenses, and device attestation. Reverse engineers get nothing to grip on, device farms get exposed, and API keys and business logic stay inside the app.
Start free during our launch offer, or talk to sales about Pro and Enterprise plans.
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