Leveraging advanced Graph Machine Learning, our solution offers a holistic approach to threat detection. It uncovers hidden correlations across multiple dimensions, providing a detailed view of fraud rings’ distribution, organization, and evolution.
We utilize sophisticated API-based user profiling to create a unique ‘fingerprint’ for each user, going beyond traditional profiling methods. By recognizing individual habits, patterns, and behaviors, we enhance threat detection precision and identify coordinated attacks.
Using these unique ‘fingerprints,’ Traceable actively flags anomalies, allowing swift mitigation of potential threats. Continuously learning from each interaction, we provide robust defense against advanced persistent threats, detecting and blocking fraudsters’ parked accounts before activation.
Averts threats by anticipating them before they materialize, offering organizations an upper hand in defending their assets.
Provides a comprehensive understanding of organized fraud, aiding in the breakdown of their operations and tactics, and obstructing their attempts at compromise.
Offers rapid response mechanisms, reducing the time from threat detection to resolution and minimizing potential damages.
Unleashes the power of AI to uncover hidden patterns in data, enhancing detection capabilities, and improving decision-making in threat responses.
Adapts and refines defenses with each encounter, ensuring your security posture evolves with the changing threat landscape.