Fraud Prevention & FRAML
Stopping account takeover, synthetic identities, push-payment scams, and first-party fraud, increasingly run on the same models as AML detection.
Third-party risk visibility across your supply chain
Compliance teams cut false positives by tuning detection against their own confirmed outcomes, so analysts spend time on real risk instead of clearing noise, and financial crime coverage keeps pace with payment growth.
Headquartered in Germany·Founded 2022·1-10 employees·Series B
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Connects to GRC, SIEM, and ticketing systems so resilience exercises hit real owners instead of mailing lists.
Stopping account takeover, synthetic identities, push-payment scams, and first-party fraud, increasingly run on the same models as AML detection.
Modelling physical and transition climate risk exposure, scenario analysis under NGFS pathways, and capital impact assessments for prudential frameworks.
Scores payments in real time with hybrid rules and ML, routing only meaningful alerts to analysts.
Financial Crime · Fraud Prevention & FRAML
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