Our research on high assurance desensitization created token technology, enables secure management of confidential information across distributed data sources and data semantics. Tokenization can be used to hold de-identified customer data and address GDPR concerns.

IBM and collaborators developed the first blockchain-based payment rail for connected objects to support automotive mobility services. This shared ledger technology will enable secure and transparent in-vehicle payments, so that motorists can pay for tolls, parking, car sharing and eBattery charging on the go.

IBM developed an advanced approach to detecting financial crimes and fraud using graph analytics and machine learning. These techniques enable a significant reduction in the high rate of false positives common in traditional rules-based fraud detection.

IBM Research innovations in artificial intelligence, blockchain, and cybersecurity are poised to transform the financial services industries with capabilities that speed risk modeling, automate fraud detection, ensure regulatory compliance, enable distributed trust, and protect sensitive financial information.

Counterfeit goods pose big risks to both revenue and reputation in the finance industry. Crypto-anchors and blockchain technology can help mitigate this risk by ensuring the authenticity of physical goods throughout the supply chain.

IBM scientists applied machine learning and mobile data towards developing credit scores for small business owners, giving lenders the confidence to provide microloans. Once a credit score is determined, blockchain can be used to manage the entire lending process.

Customer authentication and compliance with anti-terrorism and anti-money laundering regulations are part of banking’s mandatory Know-Your-Customer (KYC) processes. IBM Research developed a blockchain-based platform that allows corporate customer KYC information to be shared securely between banks, reducing hassle, increasing efficiency, and improving regulatory compliance.