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Fintech & Banking

Fraud prevention for financial services

Neobanks, payment processors, and lending platforms move money at speed — and attackers move faster. LRDefender ties every login, transfer, and card action to a stable device identity so you can stop stolen credentials, synthetic identities, and mule networks before losses hit your ledger.

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90+

Device signals

37ms

Avg latency

99.9%

SLA

SOC 2

In Progress

* Based on internal testing. Results may vary.

The Problem

When every millisecond counts, static rules miss modern fraud

Financial services face coordinated credential stuffing, device farms, and increasingly polished synthetic identities. Legacy IP and cookie checks fail across mobile apps, embedded browsers, and VPN-heavy user bases — leaving risk teams to chase alerts after money has already moved.

Account takeover and new-account fraud spike at onboarding and high-value transfers, often from devices that look “new” every time.
Stolen cards and push-payment scams generate chargebacks and regulatory scrutiny when you cannot prove strong customer authentication.
Third-party processors and open-banking flows multiply attack surface; you need consistent trust signals API-to-API, not just at the web login.
Compliance programs demand audit-ready evidence — without adding friction that drives legitimate customers to competitors. SOC 2 Type II certification is in progress.

The Solution

One device graph across channels, built for regulated workloads

Combine persistent device identification, bot and automation resistance, and intelligence-led scoring so your fraud and compliance teams share a single source of truth from signup to settlement.

Stable device IDs across sessions

Recognize returning customers even when they clear cookies, switch browsers, or use incognito — cutting false negatives on ATO and card-not-present abuse.

Runtime integrity for high-risk journeys

Detect headless browsers, scripted logins, and tampered environments at payment and wire flows where velocity limits alone are not enough.

Risk signals tuned for money movement

Enrich authorization, step-up, and limits decisions with device reputation and behavioral context so analysts see why a session was flagged.

Audit-friendly operations

Operate within architectures designed for PCI-scoped deployments and SOC 2–aligned logging — so security can stand behind every control with evidence.

How It Works

Three steps to protection

1

Instrument critical journeys

Add LRDefender across web and mobile flows: signup, login, card add, transfer, and password or MFA changes — with low-latency SDK integration.

2

Score every device and session

LR Trace anchors identity; LR Guard and LR Shield filter automation and hostile networks; LR Intel and LR Insight feed your case management and dashboards.

3

Orchestrate policy in real time

Send scores and reasons to your risk engine, step-up rules, or processor APIs to block, challenge, or allow — before funds leave the platform.

Products Used

Ship fraud controls that match the pace of your product

See how LRDefender fits neobanks, processors, and lenders that cannot afford slow rulesets or blind spots at login and pay.

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