Account Takeover Prevention & Real-Time Detection | Bureau
Stop Account Takeover Early in The Tracks
Assess risk, detect fraud, and stop account takeover in real-time across channels, including web, mobile, apps, and APIs, without compromising user experience.
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Stats
- 80% Drop in ATO cases
- 10-25% Higher catch rates
- 8X Reduction in session hijacks
Comprehensive Protection
Monitor digital footprints, assess risks across behaviors, devices, and transactions to detect automated and syndicated account takeover fraud.
Minimize Fraud Losses
Block high-risk access, mitigate financial exposure, and restrict unauthorized transactions to protect revenue.
User-centric Fraud Prevention
Evaluate hundreds of risk signals to generate context-based risk scores and intercept only the bad actors, without adding friction for good users.
The Bureau Difference
Strengthen user trust by protecting them across touchpoints
Financial Services
- Fintech
- Crypto
- eCommerce
- Gaming
- Marketplace
- Platform Economy
- Online Dating
Frequently Asked Questions
What is account takeover?
Account takeover is a type of identity fraud where fraudsters use stolen credentials to gain unauthorized access to genuine user accounts and exploit the compromised accounts for a host of illegal activities, including changing account settings, making unauthorized payments, and money laundering.
Can Bureau prevent account takeover attacks?
Bureau’s unified risk decisioning platform triggers step-up verification alerts on detecting suspicious activity before users are allowed further access. Depending on the specified risk threshold, Bureau blocks risky users to stop account takeover attempts before escalating.
What differentiates Bureau’s ATO protection?
Leveraging a wide range of risk signals, Bureau’s unified risk decisioning platform creates a unique user profile, monitors user behavior over time, and flags anomalous interactions, even when the credentials used are correct. Bureau uses device, behavioral, and contextual data to accurately identify genuine users from bots, automated scripts, lone attackers, collusive users, or human fraud farms.