Microsoft Azure

  • Download: Agentic AI Control Review Pack

    This download bundle helps AI Governance Lead teams bound tool access, autonomy, memory, and approval points using Tool authorization and approval review in Microsoft Azure environments. It emphasizes record actions and make consequential steps interruptible and provides implementation decisions that can be reviewed without relying on vendor or customer claims.

  • Download: Azure Private Connectivity Review Pack

    This download bundle helps Cloud Architect teams use bounded standards, reference patterns, and recorded exceptions using Private Link and DNS review in Microsoft Azure environments. It emphasizes connect principles to implementation evidence and provides implementation decisions that can be reviewed without relying on vendor or customer claims.

  • Video Tutorial: Add Human Approval to an Agentic Workflow

    This video tutorial helps AI Engineer teams bound tool access, autonomy, memory, and approval points using Tool gateway and approval queue in Microsoft Azure environments. It emphasizes record actions and make consequential steps interruptible and provides implementation decisions that can be reviewed without relying on vendor or customer claims.

  • Video Tutorial: Review a Just-in-Time Access Request

    This video tutorial helps Security Engineer teams verify identity, device, context, and authorization for every privileged path using Privileged identity management in Microsoft Azure environments. It emphasizes minimize standing access and network-based trust and provides implementation decisions that can be reviewed without relying on vendor or customer claims.

  • Illustrative Case Study: Establishing a Healthcare Data Landing Zone

    This illustrative case study helps Cloud Governance Lead teams treat account structure, identity, network, logging, and policy as a product using Policy, private connectivity, data controls in Microsoft Azure environments. It emphasizes version guardrails and exception paths and provides implementation decisions that can be reviewed without relying on vendor or customer claims.

  • Deploy a Permission-Aware RAG Retrieval Pipeline

    This technical guide helps AI Engineer teams treat retrieval quality, permissions, provenance, and answer evaluation as one design using Document ACLs, vector search, model gateway in Microsoft Azure environments. It emphasizes preserve source-level access controls through indexing and retrieval and provides implementation decisions that can be reviewed without relying on vendor or customer claims.

  • Separating Prompt Injection from Authorization Failures

    This knowledge base article helps AI Security Architect teams choose model and orchestration patterns from task risk and evidence needs using Prompt defenses and tool authorization in Microsoft Azure environments. It emphasizes protect prompts, context, tools, and outputs as data flows and provides implementation decisions that can be reviewed without relying on vendor or customer…

  • Diagnosing Private DNS Failures Across Hub-and-Spoke Networks

    This knowledge base article helps Cloud Engineer teams design identity, network, policy, and operations as one cross-environment system using Private DNS and network resolution in Microsoft Azure environments. It emphasizes avoid hidden dependencies between on-premises and cloud control planes and provides implementation decisions that can be reviewed without relying on vendor or customer claims.

  • Governed Lakehouse Data Platform

    This reference architecture helps Data Architect teams offer governed data capabilities through repeatable platform interfaces using Object storage, catalog, orchestration, lineage in Microsoft Azure environments. It emphasizes design isolation, lineage, and lifecycle policies into the platform and provides implementation decisions that can be reviewed without relying on vendor or customer claims.

  • Azure Hub-Spoke Platform with Private Connectivity

    This reference architecture helps Enterprise Architect teams use bounded standards, reference patterns, and recorded exceptions using Azure Virtual WAN, Private Link, Azure Policy in Microsoft Azure environments. It emphasizes connect principles to implementation evidence and provides implementation decisions that can be reviewed without relying on vendor or customer claims.