DETECTIONPrevent criminal activity from slipping through the cracks
Criminals are experts at bypassing traditional detection methods via rule-based or statistical engines. This often translates into a slew of false positives and negatives that are both time consuming and costly. We can do better than that. Linkurious Enterprise, allows you to detect even the most complex patterns that traditional systems fail to signal, saving you time and money in the process.
Why graph analytics is critical to uncover financial crime
Traditional vs graph approach
Most financial crime tools struggle to consider what’s beyond the direct and indirect relationships of a given client or transaction. This is often due to missing information, either about relationships or due to poor performances of queries that involve traversing several relationships. In contrast, graph analytics make it possible to identify complex patterns hidden across billions of nodes and relationships. In fact, it leads to suspicious behavior discovery that would otherwise go undetected.
Protect your organization from bad actors
We use machine learning and graph analytics to build a comprehensive network of your clients and what they are connected to. Analysts can view the full context surrounding a suspicious client or transaction in seconds. Follow your intuition and dynamically filter data or explore new relationships. Make compliance decisions with the certainty of understanding the full picture.
Focus on real criminal cases
When your detection system signals a lot of false positives, your organization ends up wasting additional resources chasing cases that are neither criminal nor fraudulent. With Linkurious Enterprise, you can automatically identify connections across different alerts to consolidate and prioritize your cases. Ensuring you leverage the full context of a real criminal case that may have been overlooked.
Our customers bring criminal activity to light
