slrbl / Intrusion-and-anomaly-detection-with-machine-learning
Unsupervised, AI-augmented detection of attacks in application logs.
Why this job: works in the areas we cover, but does not say which job it does
What it does
Unsupervised, AI-augmented detection of attacks in application logs.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 14 days ago
- Stars
- 175
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Ruby
- 35% of the code
Is it looked after?
- Contributors
- 1
- Last 90 days
- Issues
- 100% closed
- 0 still open
- Pull requests
- 2 merged
- 0 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Ruby 35%
- HTML 33%
- Python 28%
- Shell 1%
Topics
- agentic-ai
- ai
- artificial-intelligence
- cybersecurity
- detect-intrusions
- infosec
- intrusion-detection
- llm
- log-analysis
- machine-learning
Project record
- JobOther AI tools
- StatusListed
- Commits270
- Forks74
- Watching4
- Stars in 28 days+1
- CreatedMar 4, 2017
- First seen by usNov 7, 2026
- CheckedNov 7, 2026