Octave Deploys Multi‑Tenant AI Platform on Amazon Bedrock
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Octave has launched a secure, multi‑tenant AI foundation built on Amazon Bedrock that can handle up to 2 billion documents while keeping each customer’s data isolated. The platform uses Bedrock Guardrails to filter both inputs and outputs, and runs every user session inside a dedicated microVM, ensuring strict data boundaries between tenants. This architecture allows Octave to provide a scalable, secure AI service that protects customer data and complies with content‑filtering requirements.
Written with AI from the reporting · updated 10/20/2026
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New at this step ·Octave Builds a Secure Multi‑Tenant AI Foundation on Amazon Bedrock
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- AWS Machine Learning Blog · First-partyOctave Builds a Secure Multi‑Tenant AI Foundation on Amazon BedrockOriginal source ↗
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1 developments10/21/2026, 1:35:12 AM
Octave Builds a Secure Multi‑Tenant AI Foundation on Amazon BedrockAWS Machine Learning Blog
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- 1Oct 21, 01:35single sourcereport-time only
Octave built a secure multi-tenant AI foundation on Amazon B
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- AWS Machine Learning Blog · Oct 21, 01:34Octave Builds a Secure Multi‑Tenant AI Foundation on Amazon Bedrock
Octave’s Reliance platform, serving over 14,000 regulated‑industry customers, built a foundation on Amazon Bedrock that embeds 2 billion documents while keeping each tenant’s data isolated. Using Cohere Embed v4, the system processes text and image data, and the AgentCore runtime enforces tenant isolation at the micro‑VM level. Guardrails filter content to meet strict compliance requirements. The foundation cut deployment time for new AI use cases by 50 percent.
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- AWS Machine Learning BlogSelectedOctave Builds a Secure Multi‑Tenant AI Foundation on Amazon Bedrock
Octave’s Reliance platform, serving over 14,000 regulated‑industry customers, built a foundation on Amazon Bedrock that embeds 2 billion documents while keeping each tenant’s data isolated. Using Cohere Embed v4, the system processes text and image data, and the AgentCore runtime enforces tenant isolation at the micro‑VM level. Guardrails filter content to meet strict compliance requirements. The foundation cut deployment time for new AI use cases by 50 percent.