Device Intelligence Platform

Every device has a story.
We score it.
You trust it.

One API call. Real-time device fingerprinting, behavioral biometrics, and risk scoring to distinguish trusted devices from threats — before they act.

Request Demo View Docs

POST /v1/fingerprint

Live

Device

Pixel 7 Pro
Android 14
app_attest valid

Behavior

touch variance 0.87
motion stable

Risk

no emulator
no VPN
no mock GPS

Fingerprint

fp_9f8e7d6c

Score

15 / LOW

Action

ALLOW

Designed for teams across

Healthcare
Fintech
Real estate
Insurance
EdTech
Travel

The Trust Spectrum

Beyond binary risk decisions

Every device is scored on a continuous trust spectrum. New devices start uncertain. Clean sessions build trust. Threats push it down. You decide where to draw the line.

How It Works

From raw signal to risk decision

DevizeScore turns noisy device and behavior telemetry into a stable fingerprint, trust score, and recommendation your fraud stack can act on immediately.

Signals collected
SDK and server events collect device, network, sensor, and session context.
14+ risk inputs
Fingerprint resolved
Persistent identity links the session to known devices and device clusters.
fp_9f8e...
Trust score
Attestation, behavior, and graph context resolve into one risk score.
15 / LOW
Recommendation
Your app receives an action-ready recommendation for allow, step-up, or block.
ALLOW

Capabilities

Built for depth, designed for simplicity

Persistent Fingerprinting

Hardware-backed identifiers that survive app reinstalls, factory resets, and device cloning attempts.

14+ Risk Signals

Emulator, root, VPN, mock GPS, screen mirroring, MITM — all in a single API call.

Emulator
Root
Jailbreak
VPN
Proxy
Mock GPS
Screen mirror
MITM
App clone
Hooking
Magisk
Frida
Debugger
Tamper

Behavioral Biometrics

Accelerometer, gyroscope, touch, keystroke patterns analyzed for session anomalies.

Platform Attestation

Play Integrity, App Attest, DeviceCheck verified server-side.

Cross-Platform

One API, every surface — native, hybrid, web, and server-side.

Android
iOS
Web
React Native
Flutter
Server

Configurable Thresholds

Per-merchant block + step-up, velocity checks, geo anomaly detection.

<100ms
p99 latency
14+
risk signals
3
global regions
99.9%
uptime SLO

Sample figures — pending SRE sign-off

API Playground

Score a device in one call

Use the same request shape across web, mobile, and server flows. This demo is canned and safe to copy; the API key is intentionally redacted.

ShellDemo request

curl -X POST https://api.devizescore.com/v1/fingerprint \
  -H "X-API-Key: tk_live_..." \
  -H "Content-Type: application/json" \
  -d '{
  "session_id": "sess_demo_checkout_42",
  "signals": {
    "platform": "android",
    "model": "Pixel 7",
    "os_version": "14",
    "ip_address": "203.0.113.42",
    "app_attest": "valid",
    "emulator": false,
    "vpn": false,
    "touch_variance": 0.87
  }
}'

const response = await fetch('https://api.devizescore.com/v1/fingerprint', {
  method: 'POST',
  headers: {
    'X-API-Key': 'tk_live_...',
    'Content-Type': 'application/json',
  },
  body: JSON.stringify({
    "session_id": "sess_demo_checkout_42",
    "signals": {
      "platform": "android",
      "model": "Pixel 7",
      "os_version": "14",
      "ip_address": "203.0.113.42",
      "app_attest": "valid",
      "emulator": false,
      "vpn": false,
      "touch_variance": 0.87
    }
  }),
});

const risk = await response.json();

import requests

response = requests.post(
    'https://api.devizescore.com/v1/fingerprint',
    headers={
        'X-API-Key': 'tk_live_...',
        'Content-Type': 'application/json',
    },
    json={
      "session_id": "sess_demo_checkout_42",
      "signals": {
        "platform": "android",
        "model": "Pixel 7",
        "os_version": "14",
        "ip_address": "203.0.113.42",
        "app_attest": "valid",
        "emulator": false,
        "vpn": false,
        "touch_variance": 0.87
      }
    },
)

risk = response.json()

package main

import (
  "bytes"
  "net/http"
)

func main() {
  body := []byte(`{
  "session_id": "sess_demo_checkout_42",
  "signals": {
    "platform": "android",
    "model": "Pixel 7",
    "os_version": "14",
    "ip_address": "203.0.113.42",
    "app_attest": "valid",
    "emulator": false,
    "vpn": false,
    "touch_variance": 0.87
  }
}`)
  req, _ := http.NewRequest("POST", "https://api.devizescore.com/v1/fingerprint", bytes.NewReader(body))
  req.Header.Set("X-API-Key", "tk_live_...")
  req.Header.Set("Content-Type", "application/json")

  http.DefaultClient.Do(req)
}

Demo response

Trusted device, low risk

Sample 200 OK

Fingerprint: fp_9f8e7d6c5b4a3210
Risk level: LOW
Risk score: 15
Recommendation: ALLOW

{
  "fingerprint_id": "fp_9f8e7d6c5b4a3210",
  "is_new_device": false,
  "device_risk_score": 15,
  "device_risk_level": "LOW",
  "behavioral_risk_score": 4,
  "final_risk_score": 15,
  "final_risk_level": "LOW",
  "recommendation": "ALLOW",
  "score": {
    "stability": 0.85,
    "confidence": 0.9,
    "risk_score": 0.15
  }
}

Industries

Device intelligence for every sector

Purpose-built fraud prevention tailored to your industry's unique threat landscape.

Health & Telehealth

Protect patient identities and stop prescription fraud before it reaches the pharmacy.

Insurance & InsurTech

Detect synthetic claimants and ghost providers across the policy lifecycle.

Real Estate & PropTech

Prevent mortgage fraud and rental scams with device-level trust at every transaction.

Ride-Hailing & Mobility

Eliminate fake rides, GPS spoofing, and driver-rider collusion in real time.

Travel & Hospitality

Block scalping bots and loyalty fraud to preserve revenue and guest experience.

Wealth & Investment

Defend high-value accounts from SIM-swap takeovers and deepfake impersonation.

Social Commerce & Quick Commerce

Stop multi-accounting, fake sellers, and delivery fraud across social and quick commerce platforms.

Use Cases

One platform, every defense layer

From bot attacks to identity fraud — full lifecycle digital trust.

Bot Defence

Stop automated attacks before they reach your application layer.

Identity Defence

Detect fake accounts and synthetic identities at the point of creation.

Payment Defence

Prevent transaction fraud with real-time device and behavioral signals.

Trust & Abuse Defence

Eliminate spam, toxicity, and marketplace abuse with continuous scoring.

Ad Fraud Defence

Identify fake clicks and install fraud to protect your ad spend.

Subscription Defence

Detect account sharing and credential abuse across devices.

Incentive Abuse & Collusion

Uncover coordinated fraud rings and promo abuse networks.

Identity Fraud Defence

Verify real humans with liveness detection and deepfake screening.

Comparison

Where device intelligence changes the operating model

Fraud teams usually choose between brittle rules, point-solution IDV, or a custom signal stack. DevizeScore combines device, behavior, attestation, and identity context behind one risk decision.

Capability comparison between DevizeScore, rules-based fraud systems, single-vendor IDV, and DIY signal pipelines.
Capability	DevizeScore	Rules-based fraud	Single-vendor IDV	DIY signals
Persistent device identity	Built in Survives reinstall and device reset patterns	Limited Usually session or event scoped	Partial Often tied to a verification event	Partial Possible, but expensive to harden
Behavioral biometrics	Built in Touch, motion, and timing signals	Limited Thresholds after behavior is known	Partial Usually document or selfie focused	Partial Requires sensor collection and models
Platform attestation	Built in App Attest, DeviceCheck, Play Integrity	Limited Rarely native to rule engines	Partial May cover app integrity indirectly	Partial Requires per-platform maintenance
Device farm detection	Built in Clustered devices and emulator patterns	Partial Catches known velocity patterns	Limited Not the primary detection surface	Partial Needs graphing and feedback loops
Identity + fraud coverage	Built in Device risk, IDV, liveness, deepfake checks	Partial Fraud policy without identity proof	Partial Identity proof without full device context	Partial Multiple vendors and data contracts
Real-time risk scoring	Built in One API response with recommendation	Partial Depends on rule coverage and tuning	Partial Usually verification-result centric	Partial Requires scoring service ownership
Configurable enforcement	Built in Merchant block and step-up thresholds	Built in Strong rule policy controls	Partial Step-up is usually verification based	Partial Flexible, but ops-heavy
Cross-platform coverage	Built in Mobile, web, and server-side flows	Partial Works where events are instrumented	Partial Best around onboarding flows	Partial Requires SDK and backend ownership
Fraud-ring clustering	Built in Links accounts, devices, and behavior	Partial Finds obvious shared attributes	Limited Usually person-check focused	Partial Needs graph storage and review tooling
Audit-ready decision context	Built in Risk level, scores, signals, recommendation	Partial Rule hits explain the policy outcome	Partial Verification artifacts explain identity checks	Partial Only if logging is built deliberately

Building toward enterprise-grade trust

SOC 2 Type II
In progress
Annual third-party audit of security, availability, and confidentiality.
GDPR
In progress
Data processing agreements and EU subject rights workflows.
ISO 27001
In progress
Information security management system aligned with ISO/IEC 27001:2022.

Ready to score your first device?

Get started with the DevizeScore API. Explore the documentation or talk to our team about your use case.