Mark Russinovich on Muck Rack

Mark Russinovich

Seattle
As seen in: Microsoft Azure Blog, Microsoft Learn Blog, Yahoo Finance, Communications of the ACM, Substack, Softpedia, GeekWire, The Entrepreneurial Way with AI
CTO and Deputy CISO of Microsoft Azure, author of novels Rogue Code, Zero Day and Trojan Horse, Windows Internals, Sysinternals tools. Opinions are my own.
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Mark

Contact Mark, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

Redefining the Software Engineering Profession for AI

|
By Mark Russinovich, Scott Hanselman
| Substack
By Mark Russinovich and Scott Hanselman Generative AI has fractured the economics of software engineering. Agentic coding assistants now give senior engineers an AI boost, multiplying their throughput, while imposing an AI drag on early-in-career (EiC) developers who lack the judgment and context to steer, verify, and integrate AI output. The result is a new incentive structure: Hire seniors, automate juniors.
Open in Who Shared Issue with article?

How to design reliable, resilient, and recoverable workloads on Azure

|
By Mark Russinovich, Molina Sharma
| Microsoft Azure Blog
Published Feb 17, 2026 6 min read By , Chief Technology Officer, Deputy Chief Information Security Officer, and Technical Fellow, Microsoft Azure and , Senior Product Marketing Manager, Cloud and AI Modern cloud systems are expected to deliver more than uptime. Customers expect consistent performance, the ability to withstand disruption, and confidence that recovery is predictable and intentional. Modern cloud systems are expected to deliver more than uptime.
Open in Who Shared Issue with article?

A one-prompt attack that breaks LLM safety alignment

|
By Mark Russinovich, Giorgio Severi, Blake Bullwinkel, Yanan Cai
| microsoft.com
Large language models (LLMs) and diffusion models now power a wide range of applications, from document assistance to text-to-image generation, and users increasingly expect these systems to be safety-aligned by default. Yet safety alignment is only as robust as its weakest failure mode. Despite extensive work on safety post-training, it has been shown that models can be readily unaligned through post-deployment fine-tuning.
Open in Who Shared Issue with article?
See all 121 articles
 •  Privacy  •  Terms  •  Security and Legal  •   •   •   • 

© 2026 Muck Rack

SOC 2® Certified