How Octave built a secure multi-tenant AI foundation on Amazon Bedrock

This article describes how Octave built a secure multi-tenant AI foundation on Amazon Bedrock to help regulated industries search billions of documents while maintaining strict tenant isolation.

• Built horizontal platform foundation first rather than individual features to reduce deployment time by 50%
• Used Cohere Embed v4 with 512 dimensions for multilingual, multimodal document retrieval across 2 billion documents
• Enforced tenant separation at runtime using AgentCore microVM sessions with per-user credentials and IAM governance
• Applied Amazon Bedrock Guardrails at three points to detect prompt injection and protect against untrusted ingested content
• Embedded 2 billion documents in 24 hours using Step Functions orchestration and batch processing of 4K chunks
• Complaint Triage Assistant reduced investigation time by 4-6 hours through automated extraction, retrieval, and synthesis
• Full OpenTelemetry tracing enables audit compliance by showing which documents and prompts produced each output

The foundation demonstrates that valuable data behind hard isolation requirements can be unlocked with AI while maintaining security and compliance through architectural separation rather than application-level controls.