by CPI Staff | Jul 21, 2026 | AI Agents, AI Governance & Risk Management, Blog, Cybersecurity Strategy & Governance
In this blog post How to Assess AI Agent Risk Before Production Deployment Begins we will explain how to identify the business, security and compliance risks that matter before an AI agent is allowed to operate in a live environment. The concern is not simply that an...
by CPI Staff | Jul 21, 2026 | AI Agents, Azure, Azure Monitor, Blog
In this blog post Monitoring and Troubleshooting A2A Agent Communication in Azure we will explain how to see what happens when AI agents exchange work, identify where failures occur and prevent small issues from becoming expensive business disruptions. The challenge...
by CPI Staff | Jul 20, 2026 | AI Agents, AI Governance & Risk Management, Blog, Microsoft 365
In this blog post Copilot Cowork Is GA Three Questions Before You Switch It On we will explain what has changed, where the business value sits, and what CIOs and IT leaders should check before enabling it. Microsoft made Copilot Cowork generally available worldwide on...
by CPI Staff | Jul 20, 2026 | AI Governance & Risk Management, Blog, Cybersecurity Strategy & Governance, OpenAI
In this blog post How GPT-Red Changes the AI Risks on Your Business Risk Register we will explain how OpenAI is using AI to attack its own models, why that improves security, and what Australian technology leaders should review before giving AI access to business...
by CPI Staff | Jul 20, 2026 | AI Governance & Risk Management, Blog, Gemini, RAG
In this blog post Can Gemini Parallel Web Grounding Reduce Enterprise Hallucinations we will explain how Google Cloud’s new grounding option works, where it can improve AI accuracy, and why businesses still need controls around the answers it produces. The problem...
by CPI Staff | Jul 20, 2026 | AI Coding Agents, AI Governance & Risk Management, AI Vendor Selection & Implementation, Blog
In this blog post Should Australian CIOs Shortlist Grok 4.5 for Coding Agents Now we will address a problem many technology leaders already face: every new AI model promises better results, yet each one adds cost, security questions and another vendor relationship to...
