Security and Compliance in Multi-Model LLM Architectures

As enterprises adopt multi-model LLM architectures, security and compliance become increasingly complex. Data flows through multiple providers, each with different security postures and compliance certifications.

The first principle is data minimization. Only send the minimum necessary data to LLM providers. Implement preprocessing to strip personally identifiable information (PII) and sensitive business data before API calls.

Encryption in transit and at rest is non-negotiable. All API communications should use TLS 1.3 or higher, and any cached responses must be encrypted using industry-standard algorithms.

Audit logging provides visibility into all LLM interactions. Comprehensive logs should capture what data was sent, which model processed it, response times, and any errors. This is essential for both security monitoring and compliance reporting.

For regulated industries, consider deploying models in your own infrastructure or using providers with appropriate certifications (SOC 2, HIPAA, GDPR compliance). Plantis.AI's orchestration layer can route sensitive workloads to compliant providers while using more cost-effective options for non-sensitive tasks.