A cybersecurity framework for enhancing Small and medium-sized enterprises (SMEs) security posture using user behaviour analytics
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Small and Medium-sized Enterprises (SMEs) face sophisticated cyber threats yet lack advanced, affordable defenses. This study outlines a multi-layered cybersecurity blueprint that operationalises user-behaviour analytics, integrates with the TRIVI business-intelligence model, and maps to all five NIST Cybersecurity Framework functions. It recommends a cloud-friendly implementation path - illustrated with Elastic Stack - that converts existing customer data into enriched security intelligence, enabling proactive, standards-driven threat detection and compliance. The design offers four benefits: SME-specific tailoring, seamless TRIVI integration, NIST-aligned guidance, and cost-effective scalability. The blueprint aims to elevate SME cyber-resilience; future work will validate and refine the approach.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it