Behavioral Biometrics for Fraud Detection

Behavioral Biometrics

Analyze every gesture for fraud with behavioral biometrics.

Use passive behavior analysis across keystrokes, touches, swipes, sensors and pointer movement to proactively protect against modern fraud tactics.

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Why Bureau

Unified risk decisioning that adapts to evolving fraud tactics

Behavioral traits are hard to replicate and can prove useful in detecting threats when traditional checks fail. Identify bots, synthetic identities, and mid-session behavioral shifts to step-up authentication.

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Continuous Passive Authentication

Continuously evaluate user behaviors to detect anomalies and catch credential stuffing, phishing, or social engineering attempts.

Real-time Risk Scoring

Build behavioral profiles and generate risk scores for real-time approval, rejection, or review of users.

Bot Detection

Analyze non-human interaction or navigation patterns to identify signs of bot activity or scripted automation.

Product Impact

Prevent ATO and Multi-Accounting

Match session behaviors with historical patterns to establish user similarity and protect against account takeover or multi-accounting fraud.

Improve Conversions

Higher conversions and session completion rates without the need to seek additional user input or disrupting customer workflows.

Lower Fraud Losses and Operational Costs

Automated behavioral risk scoring reduces false positives and the burden of manual reviews, saving time, effort, and resources.

The Bureau Difference

From onboarding to ongoing monitoring, keep users protected all along their digital journeys.

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Frequently Asked Questions

What is behavioral biometrics?

It is a user authentication technique that relies on analyzing how users interact with digital platforms, specifically tracking typing speeds, keystrokes, mouse movements, scrolls, and swipes, among others.

How does it prevent fraud?

Behavioral traits are unique to each user and therefore difficult to replicate. Behavioral biometrics technology uses this intelligence to spot deviations from standard user behavior patterns and detects anomalies to flag potential fraudulent activities, even when attackers may use valid credentials.

What types of fraud risks can it detect?

Behavioral biometrics helps detect bots, automated attacks including credential stuffing, synthetic identities, session hijacking, account takeover, multi-accounting fraud, and money laundering.