Overview

Advanced machine learning algorithms are used to analyze each client's activity. This allows for the identification of patterns and behaviors, and the establishment of rule sets to prevent fraud in response to certain user actions such as suspicious logins, identity theft, and fraudulent transactions.

Machine Learning Tools in ARDID

Utilize our range of machine learning tools to understand individual distinctions.

Each rule can be configured to analyze whether it is a typical transaction* for a client or not.

All rules are analyzed simultaneously, and ARDID assigns a score based on which it decides:

• Approved the transaction (acceptable risk)
• Requests 2FA authentication (low risk)
• Rejected the transaction (moderate risk)
• Blocked the client's account (high risk)

• In the AI module, we can configure what constitutes typical behavior for each entity and for each machine learning rule.