SecureAI: Toward Experiential Security and Privacy Training for AI Practitioners

Document Type

Article

Publication Date

3-21-2026

Publication Title

SecureAI: Toward Experiential Security and Privacy Training for AI Practitioners

Volume

13

Issue

1

Pages

8

Publisher Name

The Colloquium for Information Systems Security Education (CISSE)

Publisher Location

USA

Abstract

The rapid adoption of artificial intelligence across industries has outpaced security and privacy training for AI practitioners. This paper presents methods, modules, and findings from an experiential training program designed to address security and privacy challenges in AI systems development and deployment. We conducted two program iterations: a comprehensive 12-workshop series (May-October 2024) and a condensed 6-workshop format (January-February 2025). The program combined expert-led panel sessions with hands-on laboratory activities, engaging 78 participants from diverse professional backgrounds. Evaluation through pre- and post-evaluation surveys and qualitative observations revealed improvements in cybersecurity knowledge and AI security awareness. Participants demonstrated enhanced ability to identify vulnerabilities, implement security measures, and develop organizational policies for AI-related risk mitigation. The condensed format showed comparable learning outcomes with improved completion rates. This effort highlights the increased need to establish cybersecurity and privacy training for AI professionals to develop secure and trustworthy AI systems.

Identifier

10.53735/cisse.v13i1.239

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License.

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