Semi-structured interviews and task observations with 15 engineers show AI coding assistants reorganize security awareness from preventive to reactive, decoupling knowledge from prompt behavior and prompting informal coping strategies.
Trust in automation: Designing for appropriate reliance.Human factors, 46(1):50–80, 2004
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Security practitioners use LLMs independently for low-risk productivity tasks while showing interest in enterprise platforms, but reliability, verification needs, and security risks limit broader autonomy.
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From Preventive to Reactive: How AI Coding Assistants Transform Developers' Security Awareness
Semi-structured interviews and task observations with 15 engineers show AI coding assistants reorganize security awareness from preventive to reactive, decoupling knowledge from prompt behavior and prompting informal coping strategies.
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Like a Hammer, It Can Build, It Can Break: Large Language Model Uses, Perceptions, and Adoption in Cybersecurity Operations on Reddit
Security practitioners use LLMs independently for low-risk productivity tasks while showing interest in enterprise platforms, but reliability, verification needs, and security risks limit broader autonomy.