Skip to main content

Hawk Brings Entity Resolution and Network Analysis to Its Anti-financial Crime Platform for Risk Detection and Investigation


Financial institutions looking to boost their real-time risk detection and investigation capabilities can now use a groundbreaking innovation from Hawk, the leading provider of AI-powered technology for anti-money laundering and fraud prevention. Entity Risk Detection combines entity resolution and network analysis with real-time risk identification to set a new standard in the fight against financial crime.

Using Entity Risk Detection financial institutions can consolidate datasets and merge customer profiles to detect hidden risk across their operations. The quality and efficiency of risk detection and case investigation can then be enhanced further with network risk analysis. The result is increased risk coverage and greater efficiencies in how investigations are completed.

"Money launderers are constantly trying to create a smokescreen to throw financial crime detection systems and professionals off course,” said Wolfgang Berner, Chief Product Officer and Co-founder of Hawk. “As a result, financial institutions are exposing themselves to risk, by missing the links and other clues that lead to suspicious activity.”

“Entity Risk Detection helps to clear the smokescreen. For example, it can help financial institutions to see that Customer A is using Product X and does not appear to present a risk to the business, but they are in fact the same person as Customer B using Product Y – and Customer B is linked to Firm C, which is on a sanctions list.”

The new module is fully integrated with Hawk’s award-winning anti-financial crime platform. This provides banks and payment providers with a comprehensive technology suite for AML, sanctions screening, and transaction fraud prevention, with unified real-time detection, self-service configuration, and case management.

Hawk customers will also benefit from boosted AI performance, as the consolidated and enriched data from Entity Risk Detection can be used to power stronger prevention, detection and investigation capabilities.

“AI thrives on good data. The organizations that can fuel their AI with rich, high-quality data will be in a significantly stronger position to maximize risk coverage and operational efficiency. Entity Risk Detection can help to optimize the data for this purpose,” said Berner.

Hawk’s stellar growth continues in 2024. The company’s use of explainable AI for detecting, preventing and investigating financial crime has proven to be a game-changer in the industry, enabling financial institutions to increase risk coverage and drastically reduce false positive rates compared to traditional AML/CFT solutions. Hawk’s modular solution can either enhance or replace traditional rules-based systems with AI-powered transaction monitoring, screening, and fraud prevention in real-time to deliver greater accuracy and reduced noise.  

Share this page