As a result of the confusion and vulnerability that has arisen in the wake of the COVID-19 outbreak, there have been a surge in fraudsters looking to take advantage of individuals and businesses of all sizes.
Clamping down on this can be problematic, as to truly make a dent in the increase, financial institutions would need to share the patterns of fraudulent actors that they are independently observing with other financial institutions. This can involve sensitive data inputs, like consumer IDs or credit card numbers.
Our CEO, Dr. Jordan Brandt, sat down (virtually) with William Altman of the NYC Global Cyber Center to discuss ways in which Inpher can and is helping make secure, privacy-preserving collaboration possible during these challenging times – using Inpher’s Secret Computing – to allow banks to ‘secretly’ share data with sensitive inputs to help stop these bad actors.
Additionally, Jordan answers questions about our mission, his most top-of-mind cybersecurity trend in 2020, the importance of privacy preserving Big Data analytics to track the spread of COVID-19, and the potential impact of privacy-preserving machine learning systems on the world today.
Check out the full interview in the video above, or skip to the most relevant questions:
(1:09) Q1: What does your company do and how do you do it?
(1:39) Q2: When you think about the broad array of cybersecurity trends unfolding today from threats to regulations what is top of mind for you in 2020?
(2:44) Q3: With Inpher’s technology, healthcare groups can share sensitive encrypted data about patients, diseases, and even genetic data to create richer datasets while preserving privacy. Is this happening today? What are the implications? Could the tech be any help in finding a cure for COVID19?
(4:08) Q4: Inpher software also enables machine learning models to be trained on distributed data sources without exposing information. Is this happening today? Why is it important? What are the implications?