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Getting the Most Out of Your Insider Risk Data with IIDES

Podcast
Insider incidents cause around 35 percent of data breaches. In this podcast, Austin Whisnant and Dan Costa discuss the Insider Incident Data Expression Standard (IIDES), a new schema for collecting and sharing data about insider incidents.
Publisher

Software Engineering Institute

DOI (Digital Object Identifier)
10.58012/dvsv-ph32
Topic or Tag

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Abstract

Insider incidents cause around 35 percent of data breaches, creating financial and security risks for organizations. In this podcast, Austin Whisnant and Dan Costa discuss the Insider Incident Data Expression Standard (IIDES), a new schema for collecting and sharing data about insider incidents. IIDES facilitates insider incident information handling to help organizations better protect themselves against the compromise of sensitive information and mission-critical systems, which is essential to maintaining national security and defense.

About the Speaker

Austin Whisnant

Austin Whisnant

Austin Whisnant is a Member of the Technical Staff with the CERT Program at the Software Engineering Institute, a unit of Carnegie Mellon University (CMU). Her research interests include large-scale network traffic analysis, risk analysis, modeling and simulation, and national cybersecurity policy. Whisnant is also currently a PhD student in …

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