# slrbl/Intrusion-and-anomaly-detection-with-machine-learning

<https://repo.masters-masters.com/en/repos/slrbl/Intrusion-and-anomaly-detection-with-machine-learning>

[Home](https://repo.masters-masters.com/en) › [slrbl](https://repo.masters-masters.com/en/owners/slrbl) › [Intrusion-and-anomaly-detection-with-machine-learning](https://repo.masters-masters.com/en/repos/slrbl/Intrusion-and-anomaly-detection-with-machine-learning)

slrbl/Intrusion-and-anomaly-detection-with-machine-learning has 175 stars on GitHub. Its RepoMasters card: Prototype tier. Unsupervised, AI-augmented…

| Field | Value |
| --- | --- |
| Owner | [slrbl](https://repo.masters-masters.com/en/owners/slrbl) |
| Stars | 175 |
| Forks | 74 |
| Language | [Ruby](https://repo.masters-masters.com/en/languages/ruby) |
| License | MIT |
| Created | 2017 |
| Topics | intrusion-detection, machine-learning, log-analysis, detect-intrusions, infosec, cybersecurity, agentic-ai, ai, artificial-intelligence, llm |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [slrbl/Intrusion-and-anomaly-detection-with-machine-learning](https://github.com/slrbl/Intrusion-and-anomaly-detection-with-machine-learning) |

## Repository

Unsupervised, AI-augmented detection of attacks in application logs.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.