# GitHub secret scanning classifier raises acceptance 11.5% and cuts median scan time 86%

Microsoft · 2026-10-25 · Capability update

> GitHub says its secret scanning classifier improved, raising acceptance by 11.5% and cutting median scan time by 86%.

This update bears on 3 kinds of work in 3 markets. Highest level accepted: L2 Partial automation.

## The work it bears on

- [Assess practical performance and occupational competence](https://surviagi.com/work/education-vocational-training-competence-assessment) (Vocational skills and practical training): Claimed L3 · Accepted L2 · From the publisher only
- [Develop algorithms and study computational properties](https://surviagi.com/work/science-research-computing-engineering-algorithm-research) (Computing and engineering research): Claimed L3 · Accepted L2 · From the publisher only
- [Monitor security alerts and investigate anomalies](https://surviagi.com/work/software-cybersecurity-security-detection) (Cybersecurity and privacy engineering): Claimed L3 · Accepted L2 · From the publisher only

## Published at

- [Source 1](https://x.com/github/status/2114479620091171249)

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Page: https://surviagi.com/updates/ev-629530cb819d34c35c19d533ed2a089c8f3bac9f

Data generated 2026-10-26T00:14:10.392773+00:00; method activity-level-1; ontology 2.4.0.
Machine-proposed: no person has reviewed these readings, and the method is not calibrated.
Cite the page address together with the generation time.