by Angela Guess

A new press release reports, “IdentityMind Global, pioneer of digital identities for securing online financial transactions, today announced Identity Graph Intelligence (IGI). IGI is a key extension of IdentityMind’s Trusted Digital Identities (TDI™) API, helping identify and reduce risk through risk scoring and identity complexity analysis. Identity Graph Intelligence uncovers complex risk and money laundering scenarios in real time by applying big data analysis to the correlation of a digital entity’s identity attributes, transactions and behaviors. The complexity of the identity graph (diversity, depth and reputation) has a strong correlation to the risk of a transaction — the more complex the graph the higher the risk.”

The release goes on, “IdentityMind’s Trusted Digital Identities (TDI™) are the result of carefully collecting and correlating identity data, their behaviors, and their potential affiliations to nefarious groups and activities. In many financial scenarios there are multiple entities involved or related to those entities performing a transaction. These are the scenarios where Identity Graph Intelligence is more relevant. ‘Organized crime attacks are sophisticated and can be devastating,’ said Dr. David Asher of the Center on Sanctions and Illicit Finance. ‘In my experience, they often involve multiple parties with activities that are hard to see in isolation. Graph analysis is the right tool for uncovering and stopping these complex attacks. Ultimately saving us and our customers from financial and reputational exposure’.”

Read more at PRWeb.

Photo credit: IdentityMind