LOS ALTOS, Calif. -- Guardian Analytics, Inc. today announced the release of FraudMAP™, its fraud prevention solution for protecting online accounts from fraud and identity theft. Providing comprehensive online channel risk management, FraudMAP delivers fraud detection, forensics and ongoing risk monitoring based on strong analytics and rich, predictive models of individual behavior. The unique solution was built from the ground up to automatically detect new online fraud threats without requiring fraud rules development or algorithm training.
“Online accounts continue to be under attack from constantly evolving threats designed to steal account holder assets and information. These threats put the integrity of the online channel at risk and jeopardize the growth of online business,” said Tom Miltonberger, president and CEO, Guardian Analytics. “Existing online fraud prevention tactics are inadequate for addressing today’s innovative fraud networks and the risk management needs of financial institutions overall. With today’s release, Guardian Analytics has taken a new approach — one based on the unique requirements of the online channel — to better protect accounts against new and emerging threats.”
“At Star One, we’re committed to fraud prevention and actively pursue the best technologies to protect our members’ assets and ensure trust in the online channel,” said Margarete Mucker, vice president of remote services and assistant security officer, Star One Credit Union. “Guardian Analytics pinpoints suspicious activity and greatly enhances our investigation efforts. The solution has become an integral part of our overall banking security strategy, including its use by employees to quickly factor individual member online activity into the fraud risk assessment of member transactions in other channels,” added Mucker.
Guardian Analytics FraudMAP delivers better fraud prevention through more accurate detection, actionable analysis and increased visibility into suspicious online activity. The solution complements existing technologies, such as enhanced authentication, and protects online channels using two unique architectural components, which include:
- The Risk Engine, which uses strong analytics and predictive models of individual online customer behavior to minimize false positives. Unlike conventional approaches, the Risk Engine’s real-time Dynamic Account Modeling™ automatically detects new fraud attacks without requiring rules development or algorithm training.
- The Risk Application, which features a visual analytic interface to aid investigation, resolution and risk monitoring. Going beyond simple alerts, the Risk Application delivers users high-fidelity risk scores and extensive contextual information behind the risk score to support comprehensive analysis and investigation.
Supports Cross-functional Fraud Prevention Processes
In addition, FraudMAP supports cross-functional fraud prevention processes to help financial institutions stay ahead of fraudsters:
- Alerting and Investigation — core functionality ensures quick and thorough investigation of truly suspicious online activity;
- Risk Management — dovetails with overall risk management processes by systematically tracking fraud risk levels and measuring the performance of countermeasures over time. Users can aggregate online activity for quantitative reporting of trends and meeting audit and compliance requirements;
- Business Operations — employees in operational roles gain insight into individual customer online activity for tasks such as correlating offline fraud with online activity to uncover multi-channel fraud schemes.