AI-Powered Transaction Fraud Prevention
Automatically detect and prevent transaction fraud in real-time while maintaining a seamless user experience. Empower your risk and fraud teams to identify and stop fraudulent activities from seemingly legitimate customers, reducing fraud rates with advanced ML models, device and behavioral signals, an intuitive no-code natural language interface, and Oscilar AI.
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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 takeovers 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.
Leverage state-of-the-art ML models to defend against transaction fraud across various payment types and schemes.
ACH Fraud
Detect unusual ACH transaction patterns, such as rapid debits and credits across multiple accounts, indicating potential fraud or kiting schemes.
Wire Fraud
Identify suspicious wire transfers, such as unexpected large transactions or transfers to high-risk jurisdictions, to prevent financial losses and money laundering.
Card Fraud
Spot signs of stolen card usage, card cloning, and card testing through advanced behavioral and transactional analysis.
Zelle Fraud
Detect scams using social engineering tactics to trick Zelle users into sending or receiving money as part of a fraud scheme.
Account Takeover (ATO)
Detect unusual account activities, login patterns, or transaction behaviors that may signal an account has been compromised.
Mule accounts
Monitor for signs of money muling, such as accounts receiving large or frequent deposits and then transferring those funds to unrelated external accounts.
Create powerful transaction 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 transaction fraud scenarios.
Leverage Pre-Built Rules and ML Models
Easily implement rules and ML models that adapt to different transaction fraud scenarios.
Powerful Testing Suite
Run backtests, A/B tests, and unit tests in one click to validate existing and new transaction fraud detection workflows.
Reduce user friction 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 transaction 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 a transaction fraud case was created, along with proactive insights to speed up reviews.
