Co Author: JiteshThakur​    AI agents are useful because they can act. They call tools, query databases, send messages, and hand work to other agents. That same freedom creates a problem: access ...

We are excited to announce that Trusted Launch as Default (TLaD) is now Generally Available for new Azure Generation 2 (Gen2) virtual machines (VMs) and virtual machine scale sets. With this mileston...

Organizations are rapidly adopting AI agents to retrieve data, invoke tools, automate workflows, interact with applications, and increasingly make decisions on behalf of users. As these agents bec...

As organizations move from deploying a handful of AI copilots to managing fleets of task-specific agents, a new challenge is emerging - Ownership. Today's AI agents can do far more than answer ques...

Why the platform around the model is the real enterprise differentiator Enterprise AI has reached a turning point. Beyond answering questions, it can now reason over business context, retrieve know...

Organizations are rapidly adopting AI agents to automate workflows, access enterprise data, invoke tools, and take actions on behalf of users. This autonomy creates a fundamentally new security chall...

Security teams face an increasingly complex landscape. Threats span identities, endpoints, email, cloud workloads, and emerging AI environments. The best defenders aren't just reacting to threats—the...

Nationwide, the world’s largest building society, is among the first organizations to put Microsoft’s new agentic security system to work. Facing adversaries who now regularly weaponize AI, the socie...

Protection that keeps up with how data moves in the AI era  Enterprise data used to be easier to contain.  It lived in files, in apps you managed, within boundaries you controlled. Security teams...

Modern insider risk investigations succeed or fail based on how quickly analysts can move from signal to decision with more context. Too often, investigations within Microsoft Purview require high sw...