Fraud Detection

Introduction In the realm of modern identity management, Customer Identity and Access Management (CIAM) solutions play a pivotal role in securing user interactions while delivering seamless digital experiences. One of the most critical aspects of CIAM is the ability to detect and mitigate risks associated with user behavior. This is where user risk scoring and behavioral analytics come into play. User risk scoring involves assigning a numerical value to a user based on their behavior patterns, device information, and other contextual factors. Behavioral analytics, on the other hand, focuses on analyzing user actions to identify anomalies that may indicate fraudulent or malicious intent. Together, these techniques enable organizations to proactively detect and respond to potential threats, ensuring a secure and trustworthy environment for users. ...

Account takeover (ATO) scams have become a persistent threat to financial institutions and their customers. While banks and fintech companies invest heavily in fraud detection systems, attackers are continuously evolving their tactics to bypass these defenses. This blog explores how ATO scams are outsmarting traditional fraud detection mechanisms and what financial institutions can do to stay ahead of these threats. The Evolution of Account Takeover Scams Account takeover scams are not new, but their sophistication has increased significantly in recent years. Attackers no longer rely on brute-force attacks or simple phishing emails. Instead, they use a combination of social engineering, credential stuffing, and advanced persistence techniques to gain unauthorized access to user accounts. ...