VerifyStack - AI-Powered Fraud Detection and Bot Protection Platform

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VerifyStack
Behavioral Fraud Detection

VERIFYSTACK_ENGINE_V4
DIGITAL DNA
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0 Cores / 0x0
SILICON SIGNATURE
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Integrated Graphics
CLOCK JITTER
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Crystal Oscillator Drift
REFLOW LATENCY
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DOM Paint Cost
2,847,291
Threats Blocked
12,847,392
Devices Scanned
99.7%
Accuracy Rate

Advanced device fingerprinting and behavioral physics.
Designed for low‑friction risk decisions in real time.

0
Decision Quality
0
Latency Profile
0
Scale
0
Reliability
SOC 2 Type II
GDPR Compliant
ISO 27001
CCPA Compliant

Trusted by industry leaders

Fortune 500
Fintech Leaders
E-commerce Giants
Gaming Platforms
SaaS Companies
Marketplaces
Behavioral Physics

Live Behavior Signal Analysis

Move your mouse to see real-time motion pattern analysis. Your behavior signals are processed locally — no data is transmitted.

Behavioral Motion Analysis

Real-time biometric physics engine

Click "Start Tracking" and move your mouse

Velocity
0 px/s
Human Score
0%
Entropy
0%
Curvature
0 mrad
Live Detection Pipeline

Chronological Analysis

Watch each detection phase execute in real-time against your browser

PHASE 1

SYSTEM INITIALIZATION

Bootstrapping Detection Engine v2.0

Duration
800ms
PHASE 2

HARDWARE FINGERPRINTING

Deep silicon-level device identification

Duration
1200ms
PHASE 3

BEHAVIORAL ANALYSIS

Real-time interaction pattern recognition

Duration
1000ms
PHASE 4

NETWORK INTELLIGENCE

IP reputation and proxy detection

Duration
600ms
PHASE 5

BAYESIAN FUSION ENGINE

Probabilistic risk scoring with uncertainty quantification

Duration
800ms
PHASE 6

VERDICT GENERATION

Final risk assessment and decision

Duration
400ms
Machine Learning

Neural Network in Action

Watch signals flow through our deep neural network for real-time threat classification

Neural Network Inference

Real-time signal processing visualization

Canvas Hash
WebGL Render
Audio DAC
Clock Drift
Screen Size
Touch Points
CPU Cores
Timezone
Language
Permissions
Human
Bot
Risk Score
Human Probability
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Bot Probability
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Risk Score
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Nodes: 0Connections: 0Layers: 5Architecture: [10, 8, 6, 4, 3]
Live Analysis

Detection Engine Preview

Our detection engine is analyzing your current browser session in real-time. Actual hardware signals are collected — this is not a simulation.

STANDBY
READY
Protected Analysis - Algorithms Run Server-Side

Signal Coverage MatrixLive

Real-time measurement of signal depth for this browser session.

Coverage Score
0%
Live signal coverage is computed in-browser. No raw signals are persisted.
Active Defense

Controlled Response for Suspicious Traffic

See how the system applies controlled response delays and data shaping to increase costs for automated abuse.

Response Delay Simulation

connecting /login ...
awaiting response ...
received chunk 1/120
received chunk 2/120
response still streaming ...
Policy
NORMAL
Decision: UNKNOWN
Surface: Standard · No WebGPU · unknown
Time Delayed
0.0s
Data Served
0 MB
Est. Cost
$0.0000
Global Intelligence

Worldwide Threat Detection

Real-time visualization of detection events across our global edge network

Global Threat Intelligence

Real-time threat detection across edge nodes

CONNECTING...
Allow
Challenge
Block
Total Events
2,847,291
Allowed
2,434,720
Challenged
284,729
Blocked
127,842
RECENT EVENTS
Live event stream available to authenticated dashboards
Hardware Analysis

Hardware Anatomy Breakdown

X-ray view of detected components. Each component is verified through multiple independent measurements.

Core Technology

Cutting-Edge Detection Stack

Built on research-grade algorithms and physics-based signals designed to resist spoofing

Hardware-Based Fingerprinting

Extract hardware signatures from GPU shaders, audio DAC, and timing signals that are designed to resist spoofing.

30+ signalsHigh uniqueness

Bayesian Risk Scoring

Probabilistic inference framework that quantifies uncertainty in risk assessments.

Low-latency inferenceUncertainty quantification

Global Edge Network

Deployed globally to minimize latency and provide regional redundancy.

Multiple edge regionsLow-latency routing

30+ Detection Layers

Every signal. Every angle. Zero blind spots.

Mirage Protocol

Intelligent bot isolation that redirects suspicious traffic to decoy environments for analysis.

Bayesian Fusion

True Bayesian inference models uncertainty ($Var[X]$). We know when we don't know.

Proof of Work

Adaptive SHA-256 chaining that increases computational cost for suspicious requests.

FFT Spectral Analysis

Cooley-Tukey Radix-2 FFT on canvas/audio/fonts. Extracts hardware signatures invisible to scripts.

Clock Drift Analysis

Measures timing variance from the CPU clock. Virtual machines typically exhibit near-zero variance.

Media Codec Probes

Analyzes video codec support and audio DAC characteristics. Headless environments lack hardware support.

Causal Inference

Propensity score matching & counterfactual analysis. Detects behavioral causality, not just correlation.

Privacy-First Scoring

Risk scores computed from hashed signals only. Raw data never leaves the client.

Invisible Honeypots

Hidden form fields and invisible links that only automated bots interact with.

Under The Hood

30+
Detection Layers
256pt
FFT Resolution
<500ms
API Response Time
0
3rd Party SDKs