botdetector.ai scores sessions in real time using behavioral telemetry, fingerprint verification, and adaptive risk models. Deploy in minutes. Tune with precision. Operate at scale.
Go beyond IP reputation. botdetector.ai correlates behavior, device integrity, and browser-level fingerprints to make a fast, explainable decision.
Mouse micro-movements, scroll cadence, focus changes, and entropy-based heuristics with low false positives.
Canvas/WebGL/audio signals, permission surfaces, storage consistency, and tamper cues—rolled into a stable vector.
Decision traces and feature summaries you can pipe into SIEM, fraud tooling, or internal dashboards.
SDK + API with optional edge verification for faster decisions and fewer round trips at scale.
Instrument once, then tune decisions with policy controls. You decide what "risk" means for signup, checkout, content scraping, and account recovery.
Lightweight instrumentation gathers behavior, integrity cues, and fingerprint material without degrading UX.
Signals are correlated server-side. Models output a risk score and confidence with an explainable trace.
Allow, challenge, throttle, or block. Route outcomes to your WAF, fraud stack, or custom business rules.
Transparent tiers for prototypes to production workloads. Volume discounts and custom SLAs available.
Coverage for early-stage products and low-risk endpoints.
High-confidence decisioning for critical flows like auth and checkout.
For global traffic, complex policy needs, and regulated environments.
Fine-grained policy controls, audit-friendly event trails, and deployment patterns that fit modern security operations.