Ebook
Self-Hosted Mistral AI for Elastic Security
A guide to self-hosting Mistral AI for Elastic Security use cases where data residency, control, and cost need careful design.
This guide is for security and infrastructure teams evaluating private AI for security operations.
It explains how a self-hosted Mistral model can support Elastic Security use cases when sensitive data must stay inside the operating environment.
What the guide covers
- Data residency and control requirements for AI-assisted security.
- Self-hosted model architecture for security use cases.
- Integration patterns with Elastic Agents, Elastic Security, and Kibana.
- How alert context can be turned into structured analyst support.
Where SquareShift helps
SquareShift helps teams design and deploy private AI patterns that connect to existing security platforms.
The work can include architecture, model-hosting setup, Elastic integration, prompt and response controls, deployment, and operational support.
Useful when
- Security data cannot leave the client's environment.
- The team wants AI assistance without sending alerts to a public model endpoint.
- Elastic Security is already part of the detection and response stack.
- Cost, data custody, and operational control must be evaluated before deployment.
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