Risk Models as Mediating Artifacts: A Postphenomenological Analysis of the CIIM Framework in Cybersecurity Practice
Rommel Salas-Guerra

TL;DR
This paper applies postphenomenological theory to analyze the CIIM cybersecurity risk model, highlighting its role as a mediating artifact that influences practitioner perception and ethical considerations.
Contribution
It introduces a novel phenomenological analysis of the CIIM risk model, emphasizing its systemic visibility and hybrid machine learning architecture in cybersecurity practice.
Findings
CIIM makes organizational fragility visible unlike traditional models.
The hybrid ML architecture influences practitioner attention and ethical deliberation.
The paper proposes a 'phenomenology of collapse' for empirical philosophy of technology.
Abstract
This article applies postphenomenological theory to the field of cybersecurity risk management, arguing that formal risk models function as mediating artifacts that shape how security practitioners or analysts perceive, interpret, and act on threats. Based on Don Ihde's taxonomy on human-technology relationships and Peter-Paul Verbeek's extended mediational framework, the Contextual and Multimodal Hazard Impact Index (CIIM), an original dynamic risk model presented as an empirical case study, is analyzed. CIIM is formally defined as CIIM(t+1) = [A T(t) V(t) E(t)] / R(t) + {alpha} P(t), where the condition R(t) 0 is not treated as a computational artifact to be smoothed out, but as a genuine systemic collapse that signals singularity. This design choice constitutes a deliberate phenomenological move, allowing organizational fragility to be made visible in a way that previous CVSS-based…
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