Accession Number:

AD1167982

Title:

Deepfakes and Unintentional Insider Threats

Descriptive Note:

[Technical Report, Research Note]

Corporate Author:

Defense Personnel and Security Research CenterOFFICE OF PEOPLE ANALYTICS

Personal Author(s):

• Weywadt , Christina R.
• Schneider, Kristin G.
• Giuffre, Mark
• Ellis, Sandra
• Jaros, Stephanie L.

Report Date:

2022-02-01

Pagination or Media Count:

5

Abstract:

Deepfakes are digital forgeries that use artificial intelligence to create believable but misleading images, audio, and videos. When organizational insiders interact with this manipulated media, they may inadvertently take actions that compromise their organizations security. To address this problem, weve developed a short video to raise awareness of deepfakes and provide guidance on how to counteract them. The purpose of this effort is to decrease unintentional insider threat by building greater awareness of deepfakes and how they are used to influence workforce behavior.

Descriptors:

• artificial intelligence
• insider threats
• emerging threats
• behavioral sciences
• media
• security
• social engineering
• threats
• video
• deepfakes
• digital media
• digital video
• governments
• intellectual property
• machine learning
• task forces
• covid-19

Subject Categories:

• Computer Systems Management and Standards

Distribution Statement:

[A, Approved For Public Release]