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HAWK

HAWK
Pricing: No Info
AML, CFT, AI-driven, fraud detection, financial compliance, cloud-native, transaction monitoring, payment screening, customer risk rating, false positive reduction

HAWK, previously known as HAWK:AI, is a cloud-native, AI-driven platform designed to assist financial institutions in their fight against money laundering (AML) and counter-terrorist financing (CFT) activities. Established in 2018 in Munich, HAWK provides a comprehensive suite of products including payment screening, transaction monitoring, customer screening, customer risk rating, and transaction fraud detection. Its cloud-based architecture ensures scalability and high availability, facilitating seamless integration with existing systems via modern API architecture. The platform leverages explainable AI to enhance transparency and compliance while reducing false positives by an average of 70%, thereby improving the efficiency of anti-financial crime teams.

HAWK's modular platform allows for flexible implementation, either as an overlay or a replacement for existing systems, offering multiple AML and fraud solutions under one contract. This setup not only increases risk coverage but also enhances operational efficiency by detecting more instances of suspicious behavior in real-time. The platform is particularly beneficial for banks, payment companies, fintechs, and other financial institutions, aiding in the detection of fraudulent patterns across various transaction channels and payment methods.

NOTE:

This content is either user submitted or generated using AI technology (including, but not limited to, Google Gemini API, Llama, Grok, and Mistral), based on automated research and analysis of public data sources from search engines like DuckDuckGo, Google Search, and SearXNG, and directly from the tool's own website and with minimal to no human editing/review. THEJO AI is not affiliated with or endorsed by the AI tools or services mentioned. This is provided for informational and reference purposes only, is not an endorsement or official advice, and may contain inaccuracies or biases. Please verify details with original sources.

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