Keyboard Dynamics
Inter-key intervals, dwell time, flight time, and error correction rate create a behavioral fingerprint for every session.
Product · Features
Everything you need to verify humans at scale.
Behavioral intelligence, production ML inference, and automated policy enforcement — built into one verification layer for modern applications.
34
Behavioral signals
7
Production ML models
<5ms
Warm inference
0
Raw PII stored
DETECTION
34 Behavioral Signals
CertiLayer passively captures behavioral features across keyboard, mouse, touch, scroll, and motion — without storing raw behavioral data.
Mouse Trajectories
Velocity, acceleration, curvature, and micro-adjustments reveal patterns that are extremely difficult to reproduce consistently at scale.
Touch & Motion
Touch dynamics, swipe velocity, tilt, and orientation capture the physical characteristics of real human interaction.
Scroll Behavior
Velocity patterns, direction entropy, and scroll depth expose behavioral differences between humans and automated sessions.
Navigation Patterns
Page transitions, focus duration, and decision latency create a temporal behavioral fingerprint for each session.
Zero PII Collected
Raw signals are transformed into feature vectors immediately. No keystrokes, cursor coordinates, or sensitive raw events are stored.
ML PIPELINE
7 Production ML Models
The Human Continuity Engine processes behavioral signals through a multi-stage ML pipeline to produce a Human Confidence Score from 0.0 to 1.0.
M1 — Rule Gates
Instantly rejects obvious automation signals such as headless browsers, missing browser APIs, and impossible timing patterns.
M2 — Siamese LSTM
Behavioral identity verification using BiLSTM embeddings. Keyboard evaluation reaches an AUROC of 0.9673.
M3 — XGBoost Classifier
Bot-versus-human classification across the canonical 34-feature vector with a reported validation AUROC of 0.9993.
M4 — Contrastive AE
Per-modality anomaly detection catches sessions that appear human while exposing subtle behavioral inconsistencies.
HCS Formula
Weighted scoring combines M3 and modality-specific anomaly signals into a single Human Confidence Score.
< 5ms Warm Latency
ONNX inference runs CPU-only. Warm inference targets sub-5ms latency without requiring a GPU or external ML service.
POLICY ENGINE
Automated Bot Response
Decide what happens after CertiLayer evaluates a session — from frictionless access to silent tarpitting or immediate termination.
Allow
High-confidence sessions pass through instantly with zero additional friction.
Silent Tarpit
Add a configurable delay to suspicious sessions. Humans barely notice while automated clients waste time and resources.
Step-Up Auth
Require WebAuthn or OTP when a grey-zone session attempts a sensitive or high-value action.
Honeypot Redirect
Route suspicious automation into an isolated environment with controlled data for behavioral analysis.
Terminate Session
Immediately invalidate sessions below your configured threshold and prevent further access.
Custom Thresholds
Configure endpoint-specific policies so high-risk actions can enforce significantly stricter verification.
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