AI for risk management

May 2018 Access Control & Identity Management, Products & Solutions

HID Global has introduced a new cyber threat and fraud detection service that brings artificial intelligence (AI) and machine learning to identity and access management, addressing the rising incidents of cyber attacks, especially against financial institutions. The new HID Risk Management Solution is a real-time risk profiling technology that uses data analytics to protect financial transaction systems and banking applications against cyber criminals.

The ever-changing threat landscape that makes it more challenging to secure online and mobile financial applications has created an urgent need to improve the detection of fraud and cyber attacks and accelerate the prevention of costly damage. The new HID Risk Management Solution meets this need by combining evidence-based detection capabilities and behavioural biometrics, supported by machine learning. This HID cybersecurity solution is designed to protect banks, online merchants and service providers against zero-day malware, account takeover, phishing attacks and bots, among other threats.

“The HID Risk Management Solution gives businesses and consumers a new defence against cybercrime,” said Brad Jarvis, vice president and managing director of Identity & Access Management (IAM) Solutions with HID Global. “By combining HID’s expertise in identity and access management with new capabilities in AI and machine learning, we are enabling organisations to better manage risk, protect customer data and defend against fraud, malware and data breaches. The combination of our HID Risk Management Solution and our mobile-based authentication application, HID Approve, creates a unique blend of security and user authorisation.”

Adding trust to online transactions and preserving the integrity of digital business interactions, the HID Risk Management Solution is fully integrated with HID’s ActivID Authentication Platform, which provides multi-factor authentication to protect users’ IDs, transactions, devices and accounts.

The merging of multi-factor authentication with the new level of AI-driven, cyber threat and fraud detection is a strategic advancement that delivers risk-based, frictionless and adaptive authentication based on data intelligence. It increases security while optimising the user experience as seamless – without any incon-venience 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.

• Behaviour engine – creates a behavioural biometric profile of the user, including keyboard, mouse and swipe behaviour, page navigation and application usage.

• Anomaly engine – monitors the details of transactions in realtime, utilising machine learning methods to identify anomalous sessions and transactions, as well as continuous analysis of hundreds of parameters.

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.





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