Where DFIR Fits in NIST's Cyber AI Profile
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Where DFIR Fits in NIST's Cyber AI Profile
"The National Institute of Standards and Technology (NIST) recently released NIST IR 8596, the Initial Preliminary Draft of the Cybersecurity Framework Profile for Artificial Intelligence (Cyber AI Profile). The document establishes a structured approach for managing cybersecurity risk related to AI systems and the use of AI in cyber defense, organised around three focus areas: Securing AI System Components (Secure), Conducting AI-Enabled Cyber Defense (Defend), and Thwarting AI-Enabled Cyber Attacks (Thwart)."
"This paper examines the Cyber AI Profile through a DFIR lens and argues that DFIR functions as a cross-cutting capability that underpins all three focus areas. By analyzing how DFIR supports forensic readiness prior to deployment, accelerates detection and response during incidents, and grounds AI-enabled threats in evidence after the fact, this paper positions DFIR as essential to operationalising the Cyber AI Profile in practice."
NIST IR 8596 presents a Cyber AI Profile focused on securing AI components, conducting AI-enabled cyber defense, and thwarting AI-enabled attacks. DFIR is not named as a standalone discipline but its foundational practices appear across the Profile. DFIR provides forensic readiness before deployment, enabling evidence collection, logging, and observability. DFIR accelerates detection and response during incidents through forensic techniques, log analysis, and evidence preservation. DFIR grounds post-incident accountability by tying AI-enabled threats to defensible evidence. Embedding DFIR practices operationalizes accountability, observability, and defensible incident response for organizations adopting AI technologies.
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