Securely collaborate across institutions, business lines, and borders to better detect, prevent, and investigate financial fraud. Duality uses multiple privacy-enhancing technologies to create a safe environment that guards your data against fraudulent activities while allowing real-time access to critical information for timely decision-making.
A typical financial institution may only see 15%-25% of their customers’ activity. This limited visibility hinders an institution’s ability to understand and mitigate fraud risks and cybercrime. Additionally, when these organizations do collaborate, they struggle to do so in an efficient and timely manner–allowing time for criminals to evade law enforcement. With Duality’s privacy and confidentiality guardrails, investigators can more readily and easily collaborate with other organizations and data partners to close the gaps criminals use for cover, all while adhering to global data protection and privacy laws.
Duality leverages multiple privacy-enhancing technologies to enable fraud teams to securely share information across companies and international borders without exposing sensitive personal or commercial information. This allows for a deeper analysis of user behavior, helping teams to better detect, prevent, and disrupt suspicious activity, cybercrime, and fraud incidents while keeping their customers safe and preserving a competitive edge.
Share and compare data points, accounts, devices, customer information, and more to better detect, investigate, and prevent credit card and payment fraud.
Collaborate across carriers to combat fraudulent and duplicate claims, identify identity fraud rings, and compete investigations faster.
Identify indicators of compromise, prevent attacks, and share whitelists and blacklists.
“We partnered with Duality to fulfill the promise of privacy preservation in information sharing. The Duality platform has the potential to become one of the key tools for inter-bank collaborations.”
Receive answers to questions on accounts, entities, and transactional data without waiting.
Collaborate with peer banks to get deeper insights without revealing sensitive information or risking customer trust.
Prevent fraud losses and reputational damage by using data to make better decisions across the customer lifecycle.
Mitigate risk and liability by protecting data with quantum-resistant encryption.
Effectively fight financial crimes and fraudulent transactions while complying with financial and privacy regulations (including CCPA, GDPR, and PIPEDA).
Remain competitive and compliant while exchanging encrypted information on:
Account, device, and PII information changes
Known or suspected criminals and mule accounts
Victims of fraud, identity theft, and data breaches
Suspicious IP addresses, email addresses, and phone numbers
Synthetic identity information and indicators
Using our privacy-protected data collaboration platform, we facilitate secure and compliant data sharing across global financial institutions, enhancing collaborative efforts to combat financial fraud more effectively. By enabling the seamless exchange of encrypted data, Duality’s fraud prevention solutions help organizations identify and address fraudulent activities swiftly and efficiently. To see a real-world application, view our case study that showcases how Mastercard successfully uses our data collaboration platform to maintain compliance while exchanging sensitive information across jurisdictions (US, UK, India, Singapore).
Enable privacy-preserving data collaborations across your entire financial ecosystem.
Protect patient data across your healthcare network through privacy-preserving collaborations.
Enable seamless, privacy-preserving data collaborations across government agencies.
Utilize data collaboration to drive digital marketing efforts with creativity and accuracy.
Maximize the value of sensitive, regulated, or confidential data.
Utilizing privacy-enhancing technologies, Duality enables you to securely collaborate on sensitive data across borders and companies to perform secure machine learning and analytics all without exposing the data to anyone. This allows investigators and analysts to acquire and use data to detect fraud and cybercrimes earlier, faster, and with greater accuracy.