Draft:Glorin Sebastian
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Comment: Just a note, your article is duplicated. You might have pasted twice accidentally. Awesomecat (✉ / ✎) 05:48, 24 May 2026 (UTC)
Glorin Sebastian is an Indian-American cybersecurity and information systems researcher, consultant, and author known for his work on artificial intelligence governance, shadow AI risks, and human oversight in AI-mediated decision-making. He works in information technology consulting and has published research on cybersecurity governance, AI risk management, and organizational impacts of generative AI. Sebastian is the author of the Digital Shadow AI Risk Theory (DART) framework and the CTRL Theory of Youth–AI Dependency. His research has appeared in peer-reviewed academic journals including Technological Forecasting and Social Change and the Journal of Information, Communication and Ethics in Society.
Education
[edit]Sebastian completed doctoral studies through a joint executive doctoral program involving the University of Bordeaux and the Indian Institute of Management Sambalpur. He also holds multiple degrees in information systems, business, and technology-related disciplines.
Career
[edit]Sebastian has worked in cybersecurity governance, risk management, audit, and technology controls within the information technology sector. His work has focused on AI governance, SOX controls, cybersecurity risk management, and enterprise technology oversight.
Research
[edit]Sebastian's research focuses on the organizational and societal impacts of artificial intelligence systems, particularly generative AI and agentic AI.
He introduced the Digital Shadow AI Risk Theory (DART), a framework examining organizational risks associated with employee use of generative AI tools, including data disclosure, knowledge dilution, and governance concerns.
He also proposed the CTRL Theory of Youth–AI Dependency, which explores cognitive trust, reliance, and learning erosion associated with AI chatbot usage among younger populations.
Awards and recognition
[edit]Sebastian was recognized in cybersecurity and consulting-related award programs, including industry recognition associated with the Outstanding Security Performance Awards (OSPAs).
Publications
[edit]- Digital shadow AI risk theory (DART): A framework for managing data disclosure and privacy risks of AI tools at work
- Smarter tools, weaker minds? Introducing the CTRL Theory of Youth–AI Dependency
- Could incorporating cybersecurity reporting into SOX have prevented most data breaches at U.S. publicly traded companies? An exploratory study
Sebastian completed doctoral studies through a joint executive doctoral program involving the University of Bordeaux and the Indian Institute of Management Sambalpur. He also holds multiple degrees in information systems, business, and technology-related disciplines.
Career
[edit]Sebastian has worked in cybersecurity governance, risk management, audit, and technology controls within the information technology sector. His work has focused on AI governance, SOX controls, cybersecurity risk management, and enterprise technology oversight.
Sebastian's research focuses on the organizational and societal impacts of artificial intelligence systems, particularly generative AI and agentic AI.
He introduced the Digital Shadow AI Risk Theory (DART), a framework examining organizational risks associated with employee use of generative AI tools, including data disclosure, knowledge dilution, and governance concerns.
He also proposed the CTRL Theory of Youth–AI Dependency, which explores cognitive trust, reliance, and learning erosion associated with AI chatbot usage among younger populations.
Awards and recognition
[edit]Sebastian was recognized in cybersecurity and consulting-related award programs, including industry recognition associated with the Outstanding Security Performance Awards (OSPAs).
Publications
[edit]- Digital shadow AI risk theory (DART): A framework for managing data disclosure and privacy risks of AI tools at work
- Smarter tools, weaker minds? Introducing the CTRL Theory of Youth–AI Dependency
- Could incorporating cybersecurity reporting into SOX have prevented most data breaches at U.S. publicly traded companies? An exploratory study
References
[edit]- ↑ "The finalists of the 2023 US Outstanding Security Performance Awards have been revealed. | US OSPAs".
- ↑ Sebastian, Glorin (2026). "Digital shadow AI risk theory (DART): A framework for managing data disclosure and privacy risks of AI tools at work". Technological Forecasting and Social Change. 229 124697. doi:10.1016/j.techfore.2026.124697.
- ↑ Sebastian, Glorin; Sebastian, Shaliet Rose; Babu, Bichu P. (2026). "Smarter tools, weaker minds? Introducing the CTRL theory of Youth–AI dependency". Journal of Information, Communication and Ethics in Society: 1–19. doi:10.1108/JICES-07-2025-0191.
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