"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)."
"While Digital Forensics and Incident Response (DFIR) is not explicitly addressed as a standalone discipline within the Profile, many of its foundational concepts are embedded throughout the guidance. 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 published IR 8596, the Initial Preliminary Draft of a Cybersecurity Framework Profile for Artificial Intelligence, to structure cybersecurity risk management for AI systems. The Profile organizes guidance into three focus areas: Secure (securing AI components), Defend (conducting AI-enabled cyber defense), and Thwart (thwarting AI-enabled cyber attacks). Digital Forensics and Incident Response (DFIR) is not named as a standalone discipline but its core concepts appear throughout the Profile. DFIR underpins forensic readiness before deployment, accelerates detection and response during incidents, and anchors post-incident investigations by producing evidentiary artifacts that attribute and explain AI-enabled threats. The analysis supports alignment of AI adoption with accountability, observability, and defensible incident response for practitioners, leaders, and policymakers.
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