{
  "id": 15774798,
  "title": "How Octave built a secure multi-tenant AI foundation on Amazon Bedrock",
  "url": "https://urgent.news/2026/10/20/how-octave-built-a-secure-multi-tenant-ai-foundation-on-amazon-bedrock",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-20T17:34:04.000Z",
  "source": {
    "name": "AWS Machine Learning",
    "slug": "aws-machine-learning",
    "url": "https://aws.amazon.com/blogs/machine-learning/how-octave-built-a-secure-multi-tenant-ai-foundation-on-amazon-bedrock/"
  },
  "original_language": "en",
  "account": "Octave Reliance has developed a secure multi-tenant AI foundation on Amazon Bedrock to help regulated industries manage their quality management systems more efficiently. The key challenge was to unlock the historical data stored in billions of documents across multiple systems while ensuring strict isolation between tenants. To address this, Octave Reliance built a foundation layer that could be reused for future AI features, cutting deployment time per use case by 50 percent. This foundation, composed of three layers, uses Cohere Embed v4 on Amazon Bedrock to embed quality documents and write them to a per-tenant vector store on Amazon OpenSearch Service. Secure execution is achieved through Amazon Bedrock AgentCore, which applies authentication and policy before handing off user requests to an isolated microVM session that calls an Anthropic Claude model on Amazon Bedrock. Content protection is applied through Amazon Bedrock Guardrails, filtering both input and output to ensure compliance. This architecture allows for efficient retrieval, execution, and screening while maintaining strict tenant boundaries and data protection.",
  "summary": "Octave built a secure, multi-tenant AI foundation on Amazon Bedrock, using Cohere Embed v4 for embeddings and Amazon Bedrock AgentCore for isolated agent execution, to power a Complaint Triage Assistant that searches 2 billion regulated documents without crossing tenant boundaries.",
  "key_points": [],
  "editors_take": null,
  "illustration": "https://urgent.news/ill/15774798.png",
  "coverage": {
    "outlets": 2,
    "also_reported_by": [
      {
        "outlet": "AWS Machine Learning",
        "title": "Build a semantic layer for agentic AI on AWS with Strategy Mosaic and Amazon Bedrock AgentCore",
        "url": "https://urgent.news/2026/10/20/build-a-semantic-layer-for-agentic-ai-on-aws-with-strategy-mosaic-and",
        "published": "2026-10-20T15:36:39.000Z"
      }
    ]
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}