Compliance

AI-Assisted Cybersecurity Policy Assessment: Evidence Grounding, Coverage Gaps, and Implications for Security Management

Researchers demonstrate AI-assisted cybersecurity policy assessment that surfaces control-coverage gaps more systematically than manual review — directly applicable to NIS2 and DORA mapping exercises.

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Filed by arXiv Crypto & Security1 October 20261 min readRead at source ↗

arXiv:2605.07515v3 Announce Type: replace Abstract: Cybersecurity policy assessment requires reviewers to determine whether organizational policies adequately address established security controls and to identify areas where further policy development is needed. This process is challenging because relevant evidence may be distributed across multiple documents, expressed using different terminology, or address only part of a control requirement. In this study, we examine how evidence-grounded au

Editorial Analysis

Why it matters

European enterprises facing NIS2 and DORA compliance deadlines can use AI-assisted policy gap analysis to accelerate control mapping and reduce oversight risk in manual reviews.

What to do

Evaluate AI-assisted policy assessment tools for your next scheduled compliance audit to benchmark detection of coverage gaps against your manual baseline.

Board brief

AI-assisted policy review can accelerate and improve the quality of NIS2 and DORA compliance assessments, reducing audit risk.

Forward-looking interpretation drafted by editorial AI under human review — not a reproduction of the source. See methodology.

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Editorial Analysis

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