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We discuss how AI technology can help banks perform more trigger-based AML checks instead of periodic reviews, making their AML programs more effective and efficient.
In this article, we discuss how Entity Risk Detection technology helps financial institutions identify entity risk at onboarding, connections to higher-risk entities, shell company risk, and account opening fraud risk.
Hawk is pleased to announce the successful deployment of its advanced anti-financial crime platform for VakıfBank International AG, setting a new standard in anti-money laundering (AML) compliance and perpetual KYC.
Deloitte and Hawk have written a new white paper about how financial institutions can use overlays to leverage AI without disrupting operations by ripping and replacing their legacy systems.
Learn about the Wolfsberg Group's Statement on Effective Monitoring for Suspicious Activity, which recommends that banks move from AML transaction monitoring only to a broader approach incorporating more customer data.
Hawk, the leading provider of AI-powered technology for fraud prevention and anti-money laundering (AML), today announced a further extension of its Series B financing, with Macquarie Group joining existing investors.
Hawk has been recognized by Chartis as one of the 2024 RiskTech AI 50, winning the solution category award for Innovative Use of AI for Anomaly Detection. Hawk's Anomaly Detection technology helps FIs increase risk detection by 3-5x.
Financial institutions looking to boost their real-time risk detection and investigation capabilities can now use a groundbreaking innovation from Hawk.
Hawk, the leading provider of AI-powered technology for fraud prevention and anti-money laundering, today announced the extension of its Series B financing, with a substantial increase in valuation.
Learn how banks and other financial institutions can facilitate partnerships with BaaS providers to create new business opportunities while maintaining AML compliance.
Learn how Generative AI can help Financial Institutions detect sanctions violations, money laundering, and fraud, aid investigations, and improve QA processes. We also discuss hurdles to using this technology and how to overcome them.
The FCA has recognized machine learning, entity resolution, and network analysis as key tools in the fight against financial crime going forward.