Sharing sensitive data with partners and startups for AI-driven fraud prevention

Challenges

A major payment service provider(PSP) wants to develop AI solutions for identifying and preventing various flavours of fraud and money laundering. They need to work with other startups and service providers to develop these solutions. However, this requires sharing large sets of proprietary and sensitive data. The traditional data sharing process incurs risks and significantly increases time to value.

Solutions

PSP uses the Fluid platform to give access to various partners. The sensitive data is not moved away from their environment and all access is auto-compliant to privacy regulations and business-level policies

Results

  • Faster AI partner onboarding

  • Faster AI experiments and launches

  • Reduced cost of compliance and risk-insurance

Better lending services by securing sensitive consumer data

Challenges

Marketplace lenders and lending institutions aspire to exchange data about consumers’ loan selections and performance. However, the data has lots of PII (Personally Identifiable Information) and proprietary business information of the lending institution. Lack of trust and tediousness of managing compliances makes this exchange difficult.

Solutions

Fluid sandbox makes this exchange seamless and trust-enhancing. Marketplaces can access consumer data while preserving privacy by default while remaining fully compliant to all regulations. Lending institutions can use Fluid sandbox to provision data and apply various policies to protect the relevant parts of the data.

Results

  • Faster AI experiments and launches

  • Unlocking more personalised offerings for consumers

Use cases 

Our solutions empowers data driven teams across industries to unlock valuable insights from sensitive data while preserving privacy and building trust.

Take a step towards safer AI

Are you managing data and AI on the cloud? Is your team trying to understand data privacy and protection better?