API security company Traceable AI has announced the launch of its digital fraud prevention capabilities, to deliver protection against fraudulent activities across APIs and digital interfaces. Traceable’s focus on API behavioral patterns, authentication, authorization, and understanding of vulnerabilities at the identity layer, provides a robust defense, detecting cybercriminals early, based on strong signals of anomalous behavior.

By integrating advanced fraud prevention capabilities within its API security platform, Traceable provides a holistic, in-depth, and adaptive approach to ensuring that organizations stop fraud in its tracks. This proactive approach empowers organizations to detect real-time digital fraud, as well as counter threats preemptively, thereby enhancing operational security and resilience, lowering risk, and eliminating the potential financial burden associated with fraudulent transactions.

Highlights include:

ML-powered Threat and Fraud Prevention: Leveraging Graph Machine Learning, Traceable goes beyond basic threat detection, uncovering hidden correlations across various dimensions, such as endpoints, networks, applications, and APIs. It offers a holistic perspective of ‘fraud rings’, and the evolution of an attack. These capabilities give security teams unique insights for detecting and preventing threats and fraud, thereby enhancing response capabilities, and enabling automated prevention.

Unique User and Entity Profiling: Using sophisticated API activity-based user behavior profiling, the system extracts both temporal and spatial patterns from each user’s API call sequence to create a unique ‘fingerprint’ identifier that goes beyond traditional profiling methods and encompasses each user’s individual habits, patterns, and behaviors. As a result, it significantly enhances the precision of threat detection and makes it possible to spot anomalous behavior that deviates from established user behavior patterns. By correlating across individual user “fingerprints,” Traceable can recognize broader, holistic patterns reflecting coordinated attacks orchestrated by entities such as fraud rings.

Proactive Anomaly Detection: By leveraging these unique ‘fingerprints,’ Traceable can actively detect and uncover anomalies in user behavior, allowing organizations to act swiftly in mitigating potential threats before they can cause damage. Traceable continuously learns from each interaction, enhancing its precision over time, providing real-time defense against advanced persistent threats. Furthermore, Traceable can detect dormant accounts that cyber criminals intend to use sporadically and block them in-line or out of band early in the fraud activation cycle.

Integrations with Leading Security Platforms: Traceable’s Digital Fraud Prevention seamlessly integrates with leading platforms like Imperva, AWS, Cloudflare WAF, and Descope for authentication. These integrations enrich organizations’ existing security frameworks, strengthening API threat protection, fraud prevention, and enhancing data security within their infrastructure.