Utilizing artificial intelligence (AI) to distinguish fraud has helped organizations in examining huge quantities of exchanges to uncover misrepresentation patterns. Analytics Insight brought this interesting information to our attention in their article, “How Artificial Intelligence is Used in Fraud Detection.”

At the point when extortion is conceived, AI models can be put to use to dismiss exchanges by and large or ban them for additional examination, as well as rate the probability of misrepresentation.

The use of AI for fraud prevention is not a new concept, and it’s not the stuff of science fiction. AI solutions can be used to enhance security across a number of business sectors, including retail and financial.

By tracing the steps of card usage and device or endpoint access, security specialists are more effectively linking points of compromise and preventing fraud. Organizations rely on AI to trace those steps by analyzing the behaviors of transactions and devices.

Data Harmony is a fully customizable suite of software products designed to maximize precise, efficient information management and retrieval. Our suite includes tools for taxonomy and thesaurus construction, machine aided indexing, database management, information retrieval and explainable AI.

Melody K. Smith

Data Harmony is an award-winning semantic suite that leverages explainable AI.

Sponsored by Access Innovations, the world leader in taxonomies, metadata, and semantic enrichment to make your content findable.