Why AI agents need MCP to act safely inside business systems
Large language models can understand requests, reason about context, and suggest useful next steps.
But business work does not happen inside a language model.
Large language models can understand requests, reason about context, and suggest useful next steps.
But business work does not happen inside a language model.
Why is the model context protocol, MCP, needed? AI can reason about work, but it cannot safely participate in real systems without a controlled interface.
Attackers still log in. For years, credential theft through phishing has been one of the most persistent and damaging threats to modern organizations, not because it is sophisticated, but because it works.
What started as a Friday afternoon experiment turned into something we actually use. I built a multi-agent AI system for Fortytwo — a 40+-person cloud expert firm — over a weekend. Time tracking, revenue reporting, infrastructure monitoring. A real internal PoC on a real business. This is what worked, what didn’t, and what genuinely caught me off guard.
Your Azure Tenant Is a Policy Landfill
Entra Agent ID In Practice: Picking The Right Pattern And Building Safe Defaults
3: The Future of Digital Identity: Verification and zero-trust security
Microsoft just shipped the missing primitive for tenant governance: UTCM in Graph (beta)
You want to let teams build and use agents without creating a parallel identity estate you cannot explain, audit, or shut down.
AI agents are moving from experiments to infrastructure. They read, decide, and act. Sometimes in response to a human. Sometimes on their own.
2: The Future of Digital Identity: The verified ID workflow and issuance
We are proud to announce that we have been awarded Microsoft Security Partner of the Year FY 2025!
Activisory: The Space Between Prevention and Response
1: The Future of Digital Identity: How Verified ID Works