Show Abstract
As identity theft, fraud, and abuse continue to grow in terms of both scope and impact, individuals and organizations alike demand a deeper understanding of their vulnerabilities, risks, and resulting consequences. The Identity Threat Assessment and Prediction (ITAP) model provides unique, research-based insights into the habits and methods of identity threats, and to the various factors associated with higher levels of risk for PII compromise and abuse. ITAP uncovers the identity attributes most vulnerable to theft, assesses their importance, and determines the personally identifiable information (PII) most frequently targeted by thieves and fraudsters. The analytical repository of ITAP offers unique insights into people, organizations, and devices across multiple domains, including financial services, consumer services, healthcare, education, defense, energy, and government. ITAP characterizes the current identity threat landscape and aims to predict future identity threats. Using a wealth of data and analytics, the ITAP delivers some concrete guidance for consumers, businesses, and government agencies on how to avoid or lessen the impact of identity theft, fraud, and abuse. Ultimately, ITAP delivers actionable knowledge grounded in analyses of past threats and countermeasures, current threats and solutions, and evidence-driven forecasts.
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