Last week, Inpher took part in the Financial Conduct Authority (FCA) 2019 Global AML and Financial Crime TechSprint held in London. The purpose of the TechSprint was to determine how privacy-enhancing technologies (PETs) can effectively combat financial crime, detect fraudulent activities, and prevent money laundering within the financial services industry.
Inpher was selected among a field of hundreds of applicants to participate in The FinTech Innovation Lab, a program run by The Partnership Fund for New York City and Accenture. The Lab is a “highly competitive, 12-week program that helps early- to growth-stage enterprise technology companies refine and test their value proposition with the support of the world’s leading financial service firms.”
Privacy-preserving computations on genomic data, and more generally on medical data, is a critical path technology for innovative, life-saving research to positively and equally impact the global population. It enables medical research algorithms to be securely deployed in the cloud because operations on encrypted genomic databases are conducted without revealing any individual genomes.
While citing executives from Microsoft Azure and Box, who acknowledge that "security trumps everything else", she insightfully recognizes that there is a novel approach to this dilemma that leverages encryption in-use. "New York-based startup Inpher Inc., for example, has developed technology that enables data to be processed while it remains encrypted, allowing machine learning and analytics.
When anticipating the needs of high-tech fleets distributed around the world, more data is better. The challenge is that the owners and operators of the equipment cannot share info because it is often confidential, proprietary or both. In order to provide their customers with comprehensive, accurate and cryptographically secure predictive maintenance, Thales has signed an agreement with Inpher.
"With the GDPR deadline bearing down on European financial services, compelling firms to show they comply with the rules by May 25, companies with international footprints are being rudely awoken by the potentially explosive problem of where the data lives — and who regulates it."
The Deep Learning in Finance Summit hosted by Re-Work on March 15-16 in London brings together experts and practitioners in AI from around the world to discuss novel methods and applications in FSI. Topics include fraud detection, sentiment analysis, representation learning and of course data privacy under new regulatory environments.
This year in Curaçao, the Twenty-Second International Conference for Financial Cryptography will convene with salient topics in secure computation, blockchain, cryptocurrencies and data privacy. The Inpher R&D team and academic collaborators will present their paper on High-Precision Privacy-Preserving Real-Valued Function Evaluation in the Privacy and Data Processing track.
Join global thought leaders and the Inpher executive team to discuss the future of Machine Learning in Financial Services at Stanford University on February 8. The AI in Fintech Forum hosted by Kay Giesecke includes presentations and insights from the following experts:Senator Mark Warner, Andrew Rachleff, CEO of Wealthfront and Cofounder of Benchmark Capital, Dr. Peter Cotton
Inpher will join the Thales Cybersecurity program at the famed Station F to implement next generation products for analytics and machine learning on encrypted data.
As a finalist of the UBS Future of Finance Challenge, Inpher will present the capabilities of Secret Computing™ to address myriad challenges facing Investment Banking, including: Facilitation of data science knowledge sharing and insight, Machine Learning in capital markets, and Regulatory compliance, particularly with MiFID, GDPR and PSD2
June 16, Paris France. Out of over 40 applicants, Inpher was selected as a finalist for the Banking Cybersecurity Innovation Award by Société Générale and Wavestone. Secret Computing™ technology not only helps the bank protect their data, but empowers their data sciences teams to analyze it while remaining compliant with the upcoming General Data Privacy Regulation.
The Wall Street Journal reported on ING's use of Inpher's XOR Secret Computing™ Engine to run analytics on sensitive databases in multiple jurisdictions across the EU. This enables compliant and privacy-preserving machine learning to meet current and upcoming regulations such as GDPR, while opening the opportunity for secure secure cloud computing.
As one of the largest financial services conferences, the Temenos Community Forum (TCF) brings together representatives from across the financial services community including Temenos customers, product experts and thought leaders from around the globe. The theme this year is Real World Fintech.
Inpher was selected as one of 10 international startups for ING's Fintech Village to build a Proof of Concept with our next generation product for zero-knowledge computing. This will help ING to securely scale their cloud initiative and improve their analytical models by enabling computation on private data sources without ever seeing the data.
The finalists for the Swiss Fintech Awards have been announced. We are honored to be in the company of esteemed colleagues: AAAccell, Gatechain, Crowdhouse and Advanon.
From Ellipticnews, "The best paper award went to Ilaria Chillotti, Nicolas Gama, Mariya Georgieva and Malika Izabachène for “Faster Fully Homomorphic Encryption: Bootstrapping in less than 0.1 Seconds”, which shows that homomorphic encryption (in this case the GSW scheme with packed ciphertexts, together with a bunch of clever new ideas) is gradually becoming closer to practicality.
Alexander Petric presents "Touch But Don't See; Applications of Encrypted Search and Computing" at Trustech in Cannes.
Real-time encrypted search is the ultimate defense against prying eyes and a reassuring tool for banking security experts. Inpher have provided an enterprise-grade development platform for encrypting and interrogating terabytes of data across thousands of users, so you can be sure your sensitive search data will stay private.
Inpher's CEO was interviewed as a selected startup at Sibos 2017