DevSecOps Services: A Study of the Most Common and Rarest DevSecOps Services Available in 2022
Bibliographic record
Abstract
DevSecOps is an evolving set of practices within the prevalent DevOps paradigm that aims to include security at every stage of the development cycle. In order to understand how it has matured since its inception, we looked at a sample of 25 companies offering DevSecOps services to identify which services were most common and rarest. Multiple trends were identified, including a heavy lean towards DevSecOps services towards consultation and organizational adaptation. We also identified compliance to be a focus of many DevSecOps services. DevSecOps consultation and DevSecOps as a Service (DaaS) were identified as two of the most commonly available services in 2022, and isolation, SRE, SIEM, and orchestration were the rarest. Future studies on this subject might reveal different trends in the evolution of DevSecOps services, assuming DevSecOps hasn't been replaced by a more advanced paradigm.
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.
How this classification was reachedexpand
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 | 0.036 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.029 |
| Science and technology studies | 0.004 | 0.013 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".