Author: Denise Faustino

Azure Test Plans: Learn how to include the “Actual Result” during test execution and why this improves testing accuracy, traceability, and collaboration.

This is the last article in a four‑part series. Agentic AI introduces powerful autonomy, but also new enterprise risks. Learn how monitoring, auditing, and change management make agentic AI secure in the real world.

Regulatory and data‑sovereignty constraints don’t have to stop AI innovation. In this article, Dave Manning explores how organizations can run AI workloads while meeting strict regulatory and data‑residency requirements.

This is the third article in a four‑part series exploring operations and security in the agentic AI landscape. It focuses on why security must be treated as a foundational design principle for agentic systems and how to implement it effectively from the start.

In this article, Dave Lloyd presents the most recent features and enhancements in Azure DevOps – March 2026.

As agentic AI systems begin to act autonomously inside the enterprise, familiar security risks are amplified. This article explores the key threats, accountability gaps, and governance challenges leaders must address.

This is the first in a four-part series about operations and security in the agentic AI world. It focus on how Agentic AI is no longer a future concept. As autonomous systems begin to plan, decide, and act inside the enterprise, organizations must rethink security, governance, and accountability.