Partnership developing industry standards for identity fraud

Apr 25, 2006 12:33 PM

           

Edentify Inc., Bethlehem, Pa., and the New Jersey Institute of Technology (NJIT) are embarking on a project to produce standardized tools for objectively measuring identity information. Once complete, these standards will provide enhanced security for all areas of identity usage, including national security, banking, retail and healthcare.
"By combining our identity management technology with the academic research setting at NJIT, we hope to get one step closer to fulfilling our objective of enhancing the industry's ability to snuff out identity fraud," says Terrence DeFranco, CEO of Edentify.
Edentify is partnering with NJIT though its Capstone Program, in which computer science students integrate real-world experience with academic experience by designing and implementing software products or other computing services for a sponsoring company. Since the program's inception two years ago, NJIT has worked with more than 91 sponsors, including six Fortune 500 companies.
Computer science students at NJIT and their faculty advisors in the Capstone Program are pairing a comprehensive national identity database with Edentify's identity analysis and management technology to develop new standards for objectively measuring identity behavior.
Edentify will use the findings from the project to develop its technology.
"Identity theft is rampant, and the industry needs new, objective tools that accurately measure and fight it," says Osama Eljabiri, special lecturer and director of the Capstone Program at NJIT. "These students are ready to tackle the knotty problem of identity theft at its core, and develop the tools that will change the direction of identity theft and protection for the future of our privacy."
Once Edentify and NJIT develop the objective tools to measure and track identity fraud, they will perform continuous analysis of the identity environment, including evaluation of identity theft behavior, and comparison of results and trends, and be able to establish objective standards to monitor subtle variations in identity data behavior.

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