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.
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 Integrity02 / 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 Fraud03 / 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 Defense04 / 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 DataInstrument strip
Your scan, charted
Run the check above to see your own scan charted.
Back to the checkTop signals by entropy weight
Signal mix by category
Collection time
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
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
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
devices
14,892
sessions
48,201
browser mix
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 flags
recommendation
step-up auth · monitor session
Built on real research
Pre-launch, but not pre-proof. Verify everything yourself.
We don't invent customer logos or savings figures. What we ship is testable, in your browser, right now.
DRAWNAPART GPU fingerprinting
Hardware-level timing analysis inspired by peer-reviewed GPU rendering research, not cookie tricks.
Adversarial playground
Spoof signals, test evasion, and verify persistence, no signup required.
Open evaluation
Try before you buy. 10K free device IDs per month on the free tier.
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.
The scan above was measured in your browser on this visit.