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The Identity Threat Assessment and Prediction (ITAP) model and analytics provide unique, research-based insights into the habits and methods associated with identity threats, and into the various factors that contribute to higher levels of risk for the compromise and abuse of personally identifiable information (PII). ITAP uncovers the identity attributes most vulnerable to compromise, assesses their importance, and identifies the types of PII most frequently targeted by thieves and fraudsters.
The analytical repository of ITAP offers valuable understanding of the actors, organizations, and devices involved in identity threats -- across multiple domains, including financial services, consumer services, healthcare, education, law enforcement, communications, and government. ITAP characterizes the current identity threat landscape and aims to predict future identity threats. Using a wealth of data and analytics, ITAP delivers concrete guidance for consumers, businesses, and government agencies on how to avoid or lessen the impact of identity theft, fraud, and abuse. In sum, ITAP delivers actionable knowledge grounded in analyses of past threats and countermeasures, current threats and solutions, and evidence-driven forecasts.
During 2018 and into 2019, the ITAP team focused primarily on adding international (i.e. non-US) incidents to the model. There are now about 900 international incidents captured in ITAP, making up 16% of the total number. Of the international cases, 95% were localized to a given country, while the remaining 5% were multi-national (or even worldwide) in scope. This recent focus has expanded the breadth of the project, and enabled us to implement new analytics based on international incidents, including some that compare the effects of PII-compromise across different countries. Unlike in previous annual ITAP reports, all of the charts in this 2019 ITAP Report are based purely on the international cases.
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