Lightweight Cloud Forwarder Agent for Windows Event Logs
Project description
logwatch-agent
An ultra-lightweight Windows Event Log forwarder that natively streams system events to your centralized Cloud Anomaly Detection Dashboard.
Installation
pip install logwatch-agent
Quick Start
You must have an API Key generated from your central Dashboard. Open a Command Prompt or PowerShell and start the agent:
logwatch-agent start --server https://yourdomain.com --key YOUR_API_KEY
The agent will immediately:
- Begin scanning your Windows Event Viewer in real-time.
- Discard harmless "noise" events directly at the edge to save bandwidth.
- Stream critical error and warning logs to the centralized AI engine for anomaly scoring.
Architecture
This package contains zero machine learning code. It is an extremely lightweight edge client designed to use minimal CPU and RAM on the host machine. All AI inference (Isolation Forest) and alerting happens centrally on the backend server.
License
MIT License
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file logwatch_agent-1.0.1.tar.gz.
File metadata
- Download URL: logwatch_agent-1.0.1.tar.gz
- Upload date:
- Size: 13.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c17997a2204b9162990c39cae29f52a4f6ea440c380099996b36468f857340f1
|
|
| MD5 |
2269faeb9b508f9b36dcda8d56c1c622
|
|
| BLAKE2b-256 |
7b0c5707a37afdc9efb3dfefbc9a4c213461d082ce30324e10da5aece08cfb01
|
File details
Details for the file logwatch_agent-1.0.1-py3-none-any.whl.
File metadata
- Download URL: logwatch_agent-1.0.1-py3-none-any.whl
- Upload date:
- Size: 4.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
e49550c0bc353aa3aa40daeff5c42cc0291c147eefe43a0a8a78017f929f505d
|
|
| MD5 |
da2fe74a125990ff8943d9324c54d60c
|
|
| BLAKE2b-256 |
0f0011be835a3a98a5d3eb9a73d2a7e04691712f4a815c2cffc30aa09e93084c
|