AI-Powered Account Opening Fraud Prevention
Safeguard your business against sophisticated account opening schemes while maintaining a seamless user experience. Empower your risk and fraud teams to identify and stop fraudulent activities in real-time, reducing fraud rates with advanced ML models, an intuitive no-code natural language interface, and Oscilar AI.
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Prevent account opening fraud of any complexity.
Identity Theft
Identify instances where stolen personal information is used to open accounts in someone else's name.
Synthetic Identity Fraud
Detect when fraudsters combine real and fake information to create new identities for account opening.
First-Party Fraud
Automatically detect and prevent fraud from seemingly legitimate customers, including loan stacking, chargeback fraud, and bust-out schemes.
Account Origination Attacks
Spot patterns indicative of large-scale attempts to open multiple fraudulent accounts.
Promotional Offer Abuse
Identify users attempting to exploit sign-up bonuses and promotional offers through multiple fake accounts.
Obtain a true 360 degree view of your users and their activity by leveraging device intelligence, behavioral signals, and more.
First Security-Aware Device and Behavioral Intelligence Solution
Leverage Oscilar’s advanced D+B product with state-of-the-art encryption and obfuscation to ensure security and prevent spoofing and reverse engineering.
Advanced Device and Behavioral Signals
Enhance customer identification and prevent account opening fraud with device intelligence, behavior biometrics, and data enrichments.
Effortless 1st Party Data and Marketplace Integration
Connect your databases with one click using our automated ingestion system and access over 80 third-party data sources via the Oscilar Marketplace.
Create powerful account opening fraud detection workflows with Oscilar AI.
AI-Powered Workflow Creation
Describe your workflow and rules logic in natural language and watch them come to life, tailored for account opening fraud scenarios.
Leverage Pre-Built Rules and ML Models
Easily implement rules and ML models for various account opening fraud scenarios, including loan stacking, chargeback fraud, and application fraud.
Powerful Testing Suite
Run backtests, A/B tests, and unit tests in one click to validate existing and new account opening fraud detection workflows.
Reduce false positives with adaptive risk-based authentication
Take advantage of Oscilar's technology that goes beyond traditional fraud detection methods. Analyze users' historical patterns of transactions, device usage, and behavioral biometrics to detect risky actions with minimal false positives.
Detect unusual transaction patterns
Identify suspicious changes in user behavior
Leverage device fingerprints and advanced behavioral profiles
Analyze cross-account linkages to uncover fraud rings
Streamline investigations with AI-driven Case Management
Intelligent Prioritization
Review cases prioritized based on urgency and severity. Easily assign cases to specialized account opening fraud investigation queues.
Holistic User View
Access all historical and real-time data about the user and their activity at your fingertips.
AI Case Insights
Receive natural language explanations of why an account opening fraud case was created, along with proactive insights to speed up reviews.
