PING Fraud Analytics
Fraud Moves Fast. Your Defense Must Move Faster.
Detect fraud in real time, reduce false positives,
and satisfy regulatory demands.
- Optimized
- Scalable
- Compliant
Trusted by:
Our Approach
All-in-One Fraud Analytics:
Comprehensive, Intelligent, and Compliant
Automation of Anti-Fraud
Enables real-time detection of suspicious activities and prevents potential fraud before it materializes.
Comprehensive Coverage
Monitors every transaction across the entire system, giving full transparency over all funds movement.
360-Degree Monitoring
Ensures continuous oversight of all customer interactions within the banking environment through a single platform.
Operational Efficiency
Minimizes manual intervention and redirects resources to higher-value tasks like investigations.
Regulatory Compliance
Maintains a clear and transparent audit trail of monitoring activities and supports efficient audits.
Individual Risk Profiling
Analyzes each client’s behavior individually, comparing transaction legitimacy against their risk profile.
Turning Signals into Secure Outcomes
Every click, device, and location is analyzed in real time, turning raw data into automated fraud prevention.
Captures and processes hundreds of thousands of events per second, without performance drag.
Define dynamic rules (“if user logs in from unknown location and total transaction limit exceeds usual threshold, block/flag immediately”).
System “learns” your users’ normal patterns, continuously updating risk profiles over time.
Customer Risk Profiling
Centralized Customer
Intelligence
Maintaining a single, ever-expanding “knowledge base” lets you instantly compare new events against typical usage.
Unified Records
Gathers user details, such as profile data, whitelists, blacklists, and other universal constants.
Instant Responses
Evaluates every new event against known user behaviors to detect anomalies in real time.
Comprehensive History
Builds a continuously updated archive of past actions, creating a reliable baseline for risk assessment.
Behavioral Patterns
Tracks each individual’s login frequency, transaction habits, and typical device usage.