Enterprise Local AI: A Security & Compliance Checklist

A guide for CTOs and DevSecOps engineers on hardening local AI deployments. Just because it's local doesn't mean it's secure. Key Sections: 1. **Threat Vectors:** Prompt injection, model theft, training data poisoning. 2. **Network Security:** Air-gapping requirements, mTLS for inference usage. 3. **Access Control:** Implementing API keys and usage quotas for internal LLM APIs. 4. **Audit Logs:** Logging prompts and completions (without violating privacy policies). 5. **Sanitization:** Input/Output guardrails using tools like Guardrails AI. **Internal Linking Strategy:** Link to Pillar. Link to 'Deploying to Kubernetes'. Continue reading Enterprise Local AI: A Security & Compliance Checklist on SitePoint .