HID Global introduces a new cyber threat and fraud detection service that it says brings artificial intelligence (AI) and machine learning to identity & access management. The HID Risk Management Solution is a real-time risk profiling technology that uses data analytics to protect financial transaction systems and banking applications against cybercriminals.
The solution combines evidence-based detection capabilities and behavioral biometrics, supported by machine learning to protect banks, online merchants and service providers against zero-day malware, account takeover, phishing attacks and bots, among other threats, according to the company.
HID says the merging of multi-factor authentication with the new level of AI-driven, cybersecurity threat and fraud detection is a strategic advancement that delivers risk-based, frictionless and adaptive authentication based on data intelligence. It can increase security while optimizing the user experience as seamless – without any inconvenience to consumers.
The HID Risk Management Solution is composed of three different risk-based engines that are fully integrated together and deliver a more accurate risk score than other systems from other vendors.
• Threat engine – detects generic threats and tracks device IDs, identifying application integrity tampering, malware and phishing attacks.
• Behavior engine – creates a behavioral biometric profile of the user, including keyboard, mouse and swipe behavior, page navigation and application usage.
• Anomaly engine – monitors the details of transactions in real-time, utilizing machine learning methods to identify anomalous sessions and transactions, as well as continuous analysis of hundreds of parameters.
HID says the risk score that is generated from these three “engines” enables more informed decision-making about the next action, whether to approve, block or reject a transaction. The data analytics from the IAM solution creates new value for customers.
