Tanya Harris CEO of Harrman Cyber, a UK company that has developed a machine learning technology for fraud investigation. Development partners include The Centre for Intelligent Data Analytics division of Goldsmith University in London and Corpus Christi Psychology Division at The University of Oxford.
During her talk, she shares how AI machine learning can add additional layers of data security by sharing insight into using a new technology to trigger abnormalities in communication using transactional/ network analysis, NLP, breakout detection and pattern analysis and how this is currently for fraud investigation, as it rapidly processes emails, text files and when available phone and meeting records to identify lines of enquiry that otherwise go unnoticed by the human eye and. AI can significantly reduce the cumbersome, fragmented and expensive investigation and intelligence gathering process to improve evidence gathering and conviction rates and reduce corporate/human risk and the challenges that corporations face with data privacy and security.
Tanya has spoken around the world including: AISA Australia, Women in Technology UK, ISACA UK, ISACA Luxembourg, ISACA New Zealand and COSAC conference in Australia. She is on the Board of Universal Data Protection, Iron Arrow Consulting, ICOM4 and is a an ‘In Conversation Business Partner’ with AWS (Amazon Web Services) in Europe and the Middle East.
How Using AI For Fraud Investigation May Hold The Answer To Preventing Insider Threat
We will share how AI machine learning can add additional layers of data security by sharing insight into using a new technology to trigger abnormalities in communication using transactional/network analysis, NLP, breakout detection and pattern analysis.