PLAY PODCASTS
Getting the Most Out of Your Insider Risk Data with IIDES

Getting the Most Out of Your Insider Risk Data with IIDES

Software Engineering Institute (SEI) Podcast Series · Carnegie Mellon University Software Engineering Institute

March 26, 202539m 14s

Audio is streamed directly from the publisher (traffic.libsyn.com) as published in their RSS feed. Play Podcasts does not host this file. Rights-holders can request removal through the copyright & takedown page.

Show Notes

Insider incidents cause around 35 percent of data breaches, creating financial and security risks for organizations. In this podcast from the Carnegie Mellon University Software Engineering Institute, 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.