Elastic Stack ML Model Deployment

I'm seeking a professional to integrate a machine learning model deployment and experimental pipeline into Elastic Stack SIEM solution.

This project is crucial as it requires the creation of detection rules for any potentially malicious activities. Your role will involve developing a practical analysis that will help our system identify and respond to security threats in real-time.

Key Requirements:
- Integration of a machine learning model for anomaly detection
- Development of a comprehensive, practical analysis
- Creation and implementation of detection rules
- Expertise in Elastic Stack
- Strong experience with machine learning model deployment
- Proven track record in SIEM solutions
- Ability to work with JSON log formats or any other logs
- you will use Adversarial Robustness Toolkit libarary for testing intrusions
Link MISP threat intelligence platform to SIEM to ingest threat data to elastic SIEM

Ideal candidates for this project should have demonstrable expertise in machine learning, security information and event management (SIEM), and Elastic Stack. They should be able to demonstrate a practical understanding of how to implement effective detection rules within a security framework. A solid background in anomaly detection is essential.

Your successful completion of this project will result in a highly secure system that can accurately detect and respond to any potential security threats.