Hubc's Top-tier Bank Contract is Credit Suisse imo. TEL AVIV, Israel, Feb. 08, 2024 (GLOBE NEWSWIRE) -- via IBN – HUB Cyber Security Ltd (Nasdaq: HUBC), a developer of Confidential Computing cyber security solutions and services ("HUB" or the "Company"), announces another significant achievement of its collaboration with Blackswan Technologies Ltd., a leading U.S. enterprise-AI vendor, to provide a joint solution under a landmark five-year agreement with one of Europe's top-tier banks.
https://uk.linkedin.com/company/blackswantechnologies?trk=similar-pages
William Cadenilla
Vice President at Credit Suisse (A UBS Group company) | IB Client Lifecycle Management & KYC | Financial Crime Compliance Investigations
9mo Edited
One of the ways anti-fraud systems can utilise AI and machine learning is to support the detection of unusual patterns. AI and ML algorithms can sift through millions or even billions of transactions quickly to identify suspicious patterns or activities that might be signs of fraud. These algorithms learn to recognise new and changing threats, making them more effective at detecting new kinds of fraud.TEL AVIV, Israel, Feb. 08, 2024 (GLOBE NEWSWIRE) -- via IBN – HUB Cyber Security Ltd (Nasdaq: HUBC), a developer of Confidential Computing cyber security solutions and services ("HUB" or the "Company"), announces another significant achievement of its collaboration with Blackswan Technologies Ltd., a leading U.S. enterprise-AI vendor, to provide a joint solution under a landmark five-year agreement with one of Europe's top-tier banks.
https://uk.linkedin.com/company/blackswantechnologies?trk=similar-pages William Cadenilla Vice President at Credit Suisse (A UBS Group company) | IB Client Lifecycle Management & KYC | Financial Crime Compliance Investigations 9mo Edited One of the ways anti-fraud systems can utilise AI and machine learning is to support the detection of unusual patterns. AI and ML algorithms can sift through millions or even billions of transactions quickly to identify suspicious patterns or activities that might be signs of fraud. These algorithms learn to recognise new and changing threats, making them more effective at detecting new kinds of fraud.