Advanced

Multi-Tenancy and Data Isolation

Multi-tenancy is serving many customers from shared infrastructure while guaranteeing no tenant can ever see another's data. The isolation strategies run a spectrum from row-level filtering to fully separate databases, trading cost against blast radius. The non-negotiable rule for AI systems: tenant scope is enforced below the model, in code that filters queries and scopes credentials, never by instructing the model in a prompt. A single prompt-injected document is enough to break prompt-level isolation.

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RELATED CONCEPTS

VPC and Air-Gapped Deployment Prompt Injection and Defense PII Handling and Redaction

LESSONS THAT TEACH THIS

Foundations of Forward Deployed EngineeringSpecify the ownership, trust, network and meaning at each boundary28 min→The FDE EngagementCarry the caller’s permissions through every data and action boundary28 min→The FDE EngagementChoose a deployment you can operate under the actual constraints26 min→

PRACTICE THIS IN REAL QUESTIONS

AI Security, Privacy & GovernanceHow would you defend a RAG system against poisoned retrieved context and vector/embedding attacks?→System Design & Production EngineeringYour product deploys into dozens of customer environments. Design secrets management across all of them.→RAG & Agent System DesignA customer wants to expose internal APIs to a model via MCP. Design it safely: auth, least privilege, versioning.→AI Security, Privacy & GovernanceThe customer asks: 'Will you train on our data?' Give the precise answer, and explain zero-data-retention.→AI Security, Privacy & GovernanceThe customer says 'our data can't leave our environment.' Walk me through the deployment options and what each really buys.→RAG & Agent System DesignDesign RAG over 10M documents with per-user permissions: a user must never see data they can't access→