A new white paper, The Next Generation of Data Sharing in Financial Services, from the World Economic Forum has identified new technologies that banks and other financial institutions can implement for privacy-protected data-sharing between institutions. This data-sharing will enable broad analysis, which can be used to identify industry-wide risks and could even prevent future financial shocks.
Beyond system-wide benefits, these newly identified technologies, coined “privacy-enhancing techniques” can also use improved data-sharing to prevent fraud, offer financial advice, and much more. Privacy-enhancing techniques lessen the tensions underlying data-sharing. Instead of threatening customer privacy, this new wave of technology not only protects it but also enhances industry collaboration.
These five technologies include:
While new and novel for use in financial services, these technologies have existed within laboratories for years and are now ready for use in the real world of banking and other financial services. If harnessed, these tools could usher in a new, more collaborative, era of the sector on matters related to risk and product development.
“With advancing privacy-enhancing technologies, financial services have the ability to work more closely together on a range of important challenges and opportunities, from combating illicit financial transactions to identifying material risk exposures across institutions, to developing more personalized financial advice and products,” says Matthew Blake, Head of Financial and Monetary System Initiatives, World Economic Forum. “Privacy-enhancing techniques open a range of possibilities for enhanced risk management and financial innovation with benefits for customers, regulators and financial institutions alike.”
These technologies, used separately or in conjunction, greatly reduce the risks associated with data sharing and have the potential to fundamentally redefine the dynamics of data sharing in financial services. Opportunities from these technologies include the ability to:
· Better detect and prevent fraudulent activity: Federated analysis could be used to create shared fraud detection and prevention models across institutions without sharing the personally sensitive information about specific customers
· Identify system-wide risks and prevent financial crises: Secure multi-party computation could be used to conduct aggregate analysis on financial institutions’ risk exposures without breaching their institutional competitive secrets, allowing for an advance warning on systemic risks and exposures such as those that led to the 2008 financial crisis
· Enable new forms of personalized digital advice: Leveraging differential privacy in the analysis of transactions across an institution’s customer base could enable sophisticated and specific “people like you” recommendations without exposing individual customers’ spending habits
· And more, as explored in The Next Generation of Data Sharing in Financial Services
One of the key learnings from the financial crisis was that system-wide risk exposures were not properly quantified and understood by enterprises as well as financial supervisors. This was partly due to inadequate management information systems that did a poor job of aggregating risk exposures across institutions as well as too narrow a focus by supervisors on the risk of individual financial firms rather than the interconnections between institutions and the broader system. Fortunately, international financial institutions can tackle this head-on by working closely with an international Insurance specialist like Gallagher, which boosts experience in identifying potential risks and provides solutions to these risks locally and globally.
Competitive dynamics also played a part; it is perilous for a financial institution to make explicit its risk exposures because other actors may take advantage and profit from that level of transparency. Enter privacy-enhancing techniques, which make sharing granular information across institutions possible – allowing for transparency without unveiling too much, presenting new possibilities for collaboration between institutions, supervisors and customers.
“It is important to note that these technologies are not a magic wand. Using them requires financial institutions to address surrounding issues such as poor data quality, legal uncertainties and siloed data infrastructures,” says Bob Contri, Principal, Deloitte United States; Global Financial Services Industry Leader. “However, addressing these roadblocks and using privacy-enhancing techniques can propel the financial services industry into a new era of collaboration and value delivery.”
According to the World Economic Forum, financial services executives should take a concerted look at these new techniques and where they might best be deployed. Bringing these technologies into practice will require a degree of experimentation and technological expertise. Nonetheless, the benefits of widescale adoption are clear and speak to greater alignment and action among key stakeholders on issues of systemic importance.