Hawk, a leading provider of AI-powered AML and fraud prevention technology, has launched a significant upgrade to its fraud detection platform by introducing a library of AI-powered fraud typology models.
The newly released Fraud Day One Defense Models are designed to give financial institutions immediate, tailored protection against frequent fraud attack methods from the moment Hawk’s platform is deployed.
These models protect customers against various fraud typologies, including authorised push payment fraud, merchant fraud, money mule activity, and account takeover.
Hawk’s data science team uses model blueprints tailored to each financial institution’s specific needs, with trained models delivered in under three days following initial data and solution set-up. This rapid delivery is made possible by Hawk’s highly automated feature selection and model pipeline, ensuring quick tuning of models without the lengthy development timelines typically associated with custom AI builds.
This approach allows financial institutions to address significant, business-specific threats immediately, stopping financial crime as it emerges while maintaining precision and efficiency.
Combined with Hawk’s self-service rule management, real-time prevention with an average processing time of 150 milliseconds, and typology-specific day one models, fraud teams can block threats instantly, it claimed.
Hawk chief product officer and co-founder Wolfgang Berner said, “Fraud doesn’t wait — and now, neither do our customers. With our new Fraud Day One Defense Models, financial institutions can now deploy tailored protection in just days. This new offering reflects our commitment at Hawk to helping customers act fast and outpace threats from day one.”
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