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Account Takeover Prevention

Stop account takeover before it starts

LRDefender stops ATO at the front door by recognizing trusted devices, exposing reused credentials in real time, and flagging hijacked sessions—without adding friction for real customers.

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90+

Device signals

37ms

Detection latency

5

Integrated products

Free

10K IDs/month

The Problem

Logins look legitimate until the damage is done

Attackers rotate IPs, clear cookies, and mimic human pacing—so rate limits and CAPTCHAs only slow down product teams. Security teams need proof of device continuity, not another noisy alert.

Credential stuffing succeeds when the same password works across thousands of IPs and fresh browsers.
Session hijacking bypasses MFA when tokens leak from XSS, malware, or shared workstations.
Brute force and credential spraying hide inside “normal” traffic when attackers throttle attempts per IP.
Fraud and security teams disagree on thresholds because device signals are inconsistent across vendors.
ATO investigations stall when you cannot tie multiple incidents back to the same attacker-controlled device.

The Solution

Device-native identity that survives attacker tradecraft

LRDefender combines high-entropy browser and OS signals into a resilient fingerprint, then scores every login and session refresh against your policies. Block, step-up, or allow with evidence—not guesswork.

Login risk scoring with explainable signals

Every attempt returns a score plus top contributing factors (new environment, impossible travel, headless hints) so analysts approve changes in minutes.

Session integrity checks on sensitive actions

Re-verify the device fingerprint before password changes, payouts, or API token issuance to catch token theft after the initial login.

Graph-level link detection

Spot when many accounts share a small set of underlying devices or when one device rotates through hundreds of identities.

Low-latency enforcement hooks

Deploy at edge or inside your auth service with decision APIs designed for sub-50ms paths so security does not slow checkout or sign-in.

Feedback loop for your risk models

Export labeled outcomes to tune thresholds by segment—consumer vs. enterprise, high-value vs. long-tail regions.

How It Works

Three steps to protection

1

Instrument login and session routes

Add LRDefender client collection to your web and mobile flows and pass session IDs on the server where tokens are minted or refreshed.

2

Define policies by journey

Set stricter rules for password reset and money movement, lighter friction for browsing—mapped to the same device graph.

3

Respond and investigate with receipts

Block or challenge high-risk attempts automatically; send SOC teams a concise device timeline when you need a human review.

Products Used

Put ATO prevention on the critical path

Start free with 10,000 identifications per month. Try the live playground to see how device intelligence works on your own browser.

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