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Device intelligence, live on this page

Identify returning devices across browsers, private mode, and VPNs. Block high-risk traffic and reduce false positives, from one platform.

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01 / Survey & Panel Integrity

One device completing a study under ten panel profiles is one device to us.

Scattered profiles resolve into one device fingerprint.

Explore Survey & Panel Integrity

02 / Onboarding & Account Fraud

One device opening ten accounts is one device to us. Duplicate signups, promo abuse, and account takeover on a single device graph.

Many accounts wire back to one device.

Explore Onboarding & Account Fraud

03 / Bot & AI Agent Defense

Headless stacks, scrapers, and AI agents driving real browsers, scored on runtime integrity and interaction evidence, no CAPTCHA treadmill.

A machine cadence against a human line.

Explore Bot & AI Agent Defense

04 / IP Intelligence Data

Change the base URL, keep your parser. Declared gaps instead of silent blanks.

A world grid, one address in focus.

Explore IP Intelligence Data

Instrument strip

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Top signals by entropy weight

Signal mix by category

hardwarecanvasaudiobrowser

Collection time

0

The platform behind it

Identify → Protect → Analyze → Defend

Every solution above runs on the same four stages, five products, one SDK. Each step builds on the last, from first visit to threat response.

LR Trace

Collect 90+ hardware and runtime signals to generate a stable device ID, across browsers, incognito, and VPN hops.

  • 1.1 Cross-browser persistence
  • 1.2 GPU + canvas + audio signals
  • 1.3 Async, low-latency collection
  • 1.4 Incognito & private mode
identify()schema
device_idfp_e068dd62…afe
confidence0.995
signals90 collected
latencylow
GPU RendererCanvas HashAudio HashWebGL

LR Shield + Guard

Layer network intelligence and bot detection on every request. Flag VPNs, proxies, headless browsers, and automation frameworks in real time.

  • 2.1 VPN & proxy detection
  • 2.2 Real-time bot scoring
  • 2.3 Headless & AI agent signals
  • 2.4 IP reputation enrichment
network.analyze()flagged
vpn_detectedtrue
providerCommercial VPN
risk_score0.82
bot_classhuman

verdict

Allow with elevated risk · device ID stable

LR Insight

Understand your device landscape, browser distribution, session patterns, and conversion attribution without third-party cookies.

  • 3.1 Device landscape reports
  • 3.2 Session trend analytics
  • 3.3 Conversion attribution
  • 3.4 Real-time dashboards
analytics · 30dillustrative shape

devices

14,892

sessions

48,201

browser mix

Chrome
62%
Safari
21%
Firefox
11%
Other
6%

session trend

LR Intel

Federated threat intelligence, suspect scoring, and anomaly alerting, know your threat surface before damage occurs.

  • 4.1 Suspect scoring engine
  • 4.2 Federated threat feeds
  • 4.3 Anomaly webhooks
  • 4.4 Blocklist management
threat.assess()elevated
risk_levelmedium
risk_score0.67

threat flags

velocity_spikevpn_rotationreplay_pattern

recommendation

step-up auth · monitor session

Release log

  • Aug 2026

    Drop-in IP data surface: /geo/compact, /geo/standard, /geo/full

  • Aug 2026

    Web Bot Auth support for cryptographically signed crawlers

  • Aug 2026

    Accuracy harness and explainable verdict evidence

  • Jul 2026

    AI agent detection probes, available per tenant

  • Jul 2026

    GPU-coherence spoof detector

  • Jul 2026

    Keystroke and paste telemetry for survey open-ends

FAQ

Common questions

LRDefender helps fraud, research, product, and engineering teams stop duplicate survey respondents, onboarding and account fraud, bots and AI agents, payment fraud, promo abuse, and paywall bypass, all with one platform and one API. It also serves IP intelligence data as a drop-in replacement for common geo APIs.

Free tier includes 10,000 identifications per month. Pro starts at $99/mo with 100K IDs. Enterprise is custom with unlimited volume, dedicated SLA, and on-premise options. No credit card required to start.

The fingerprint contains no name, email, or account data; device signals are stored as hashes. Network addresses are processed for network intelligence under a fixed retention window. The system is designed to align with GDPR and CCPA data minimization, and SOC 2 Type II certification is in progress.

Enterprise customers can deploy the entire stack on their own infrastructure. No data ever leaves your network. We support AWS, GCP, Azure, and on-premise.

We collect 90+ browser, hardware, and behavioral signals, GPU renderer, WebGL pipelines, canvas rendering, audio context, screen properties, and more, to generate a unique, persistent device identifier without cookies.

The device ID survives cleared cookies, private and incognito mode, new sessions, and IP or VPN changes. Cross-browser matching works within the same engine family, for example Chrome, Edge, and Brave, which are all Chromium. Matching across different engines, such as Chrome to Firefox or Safari, is in evaluation and off by default. Match confidence is reported with every result, so you always know how strong the link is.

Our fingerprinting persists through incognito mode because we use hardware-level signals (GPU, audio context) that don't change between sessions.

The API is built for low latency, fingerprint collection, analysis, and risk scoring run in parallel so the impact on your users stays minimal. Actual response time depends on region, payload size, and the signal set you enable.

One call to map it

See your own traffic the way we do

Bring one flow, signup, login, checkout, or a survey, and we will map the platform to it in one call.

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