by CPI Staff | Jul 26, 2026 | AI Governance & Risk Management, Blog, Claude, Microsoft AI Foundry
In this blog post How to Run Claude Agent SDK Solutions Securely on Microsoft Foundry we will explain how to combine Anthropic’s agent technology with Microsoft’s cloud controls, without creating an expensive AI experiment that becomes difficult to secure or manage....
by CPI Staff | Jul 24, 2026 | AI Agents, AI Governance & Risk Management, Blog, Claude
In this blog post How to Design Human Approval and Audit Controls for Claude Agents we will explain how to stop an AI agent from taking a costly, sensitive or irreversible action without the right person reviewing it first. This matters because a Claude agent can do...
by CPI Staff | Jul 24, 2026 | AI Agents, AI for Business & AI Strategy, AI Governance & Risk Management, Blog
In this blog post Why Business AI Agents Should Follow the Principle of Least Agency we will explain how to give an AI agent enough freedom to deliver value without allowing it to create unnecessary cost, security exposure or operational risk. The principle is simple....
by CPI Staff | Jul 24, 2026 | AI Governance & Risk Management, Blog, Cybersecurity Strategy & Governance, Microsoft 365 Security
In this blog post The Microsoft Security and AI Checklist Every SMB Should Review we will explain what technology leaders should check before security gaps, uncontrolled AI use, and overlapping licences start costing the business. Most SMBs already own useful...
by CPI Staff | Jul 23, 2026 | AI Governance & Risk Management, Azure Foundry, Blog
In this blog post Global Regional and Data Zone Deployments in Microsoft Foundry we will explain why a small deployment setting can create major consequences for compliance, availability and cost. Many organisations choose an AI model, deploy it in Azure and assume...
by CPI Staff | Jul 22, 2026 | AI Governance & Risk Management, Azure, Blog, Microsoft AI Foundry
In this blog post How Microsoft Foundry Keeps AI Data in the Asia Pacific Region we will explain how to control where your AI workloads process and store business information, what the main deployment options mean, and where data can still leave your intended...
