From 8 000 “Criticals” to Fewer Than 200: Five Years of Pathway-Aware Risk Prioritisation in Enterprise Vulnerability Management
Loading...
Date
Authors
Nsiangani, Kibavuidi
Ipoli, Christian
Journal Title
Journal ISSN
Volume Title
Publisher
CEMA-USK
Abstract
Security operations teams are overwhelmed by alerts and routinely wrestle with backlogs of
several thousand “critical” vulnerabilities, yet still experience serious incidents and rising
analyst burnout. During the first years of the COVID-19 pandemic this became particularly
visible: attack surfaces expanded overnight through remote access, while staffing levels and
attention were under pressure.
This article describes five years of experience with a pathway-oriented, open-standard risk
prioritisation model deployed in several Tier-1 European organisations in financial and
automotive sectors. Instead of relying primarily on scanner-provided severity (for example
CVSS-based critical/high/medium/low buckets), the model ranks issues according to their role
in concrete attacker pathways: how they enable entry, lateral movement and impact on critical
assets.
Our research offers three main contributions. First, we detail a natural experiment during the
first COVID-19 wave where an automotive finance subsidiary, using shared infrastructure,
reduced over 6,000 scanner-critical items on its remote-access estate to zero pathway-critical
issues in under six months. This occurred despite increased remote-work exposure and attack
volume, and without successful compromise, unlike branches on the same infrastructure using
traditional CVSS prioritization, which suffered incidents. Second, we generalize this, showing
five large organizations reduced top-priority items by over 90% (from ~8,000 to <200) without
compromising security outcomes. Third, these reductions were achieved within formal
governance frameworks (documented plans and architectures) that have since been formalized
into open, vendor-neutral standards now being reused in Europe and African/EMEA markets.
Description
Keywords
Citation
Nsiangani, K; Ipoli, C; in RAEST – Journal d'élite de la Recheche Epistemologique, Scientifique Transdisciplinaire, CEMA-USK, 2025
DOI
Collections
Endorsement
Review
Supplemented By
Referenced By
Creative Commons license
Except where otherwised noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 United States
