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Cybertonica and Acuris Risk Intelligence to combat payment data fraud

By Megha Bhattacharya

April 14, 2021

  • Cybertonica
  • UK
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cybertonicaRisk management and fraud prevention company Cybertonica today announced a partnership with Acuris Risk Intelligence with an aim to integrate Cybertonica’s real-time behavioural biometrics platform with the Risk Intelligence flagship fraud product Cybercheck. The combined solution is expected to bring together data points and models for cyber risk and compliance.

Joshua Bower-Saul, CEO and Co-Founder of Cybertonica, commented, “Cybertonica’s innovative technology and frictionless approach to fraud detection and authentication made our partnership with Acuris Risk Intelligence a natural fit. Enabling instant cyber checks, seamless transaction monitoring, and threat intelligence in real-time is key to lowering overall fraud rates for businesses at a time when rates are expected to soar by 25% in the next few years alone. Cybertonica’s solution enables the ARI’s Cybercheck platform to do exactly that – bringing all the risk operations and events analysis to a single hub. ”

Cybercheck will be joined by Cybertonica’s intelligent platform, thus enabling the two companies to open new markets to their combined product catalogue. Acuris Risk Intelligence’s Cybercheck platform allows businesses and individuals to identify whether their company information, staff credentials, vendor or client details have been compromised by criminals or sold on dark web forums.

Cybertonica’s clients now will be able to utilise the new data models available through this partnership to make their businesses, systems and domains more reputable and secure.

Joel Lange, Managing Director, Acuris Risk Intelligence, said, ‘’With our experience with millions of queries in KYC and compliance, and Cybertonica’s expertise of managing billions of transactions and cyberthreats, the partnership brings together the ideal customer experience in continuous authentication and real-time alerts. Cybertonica protects real-world identities by using its behavioural biometrics to passively match a user to specific behavioural models in less than a second using advanced data science and risk based authentication technology.’’

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