Satya Nadella, Chairman and CEO, posted the below message to employees on Viva Engage this morning. I am excited to share a couple updates in two of our core priorities: security and quality. Hayete Gallot is rejoining Microsoft as Executive Vice President, Security, reporting to me. I’ve also asked Charlie Bell to take on a new role focused on engineering quality, reporting to me. Charlie and I have been planning this transition for some time, given his desire to move from being an org leader to being an IC engineer. And I love how energized he is to practice this craft here day in and day out! Hayete joins us from Google where she was President, Customer Experience for Google Cloud. Before that, she spent more than 15 years at Microsoft with senior leadership roles across engineering and sales, playing multiple critical roles in building two of our biggest franchises – Windows and Office, leading our commercial solution areas’ go-to-market efforts. And she was instrumental in the design and implementation of our Security Solution Area. She brings an ethos that combines product building with value realization for customers, which is critical right now. As we shared during our quarterly earnings last week, we have great momentum in security, including progress with Security Copilot agents, strong Purview adoption, and continued customer growth, and we will build on this. We have a deep bench of talent and leaders across our security business, and this team will now report to Hayete. Additionally, Ales Holecek will take on a new role as Chief Architect for Security, reporting to Hayete. Ales has spent years leading architecture and development across some of our most important platforms and will help bring that same sensibility to security and its connections back to our existing scale businesses and the Agent Platform. As we shared yesterday, we have a new operating rhythm with commercial cohorts, and Hayete and her team will now be accountable for our security product rhythms as part of this process. Charlie built our Security, Compliance, Identity, and Management organization and helped rally the company behind the Secure Future Initiative. And we’re fortunate to have his continued focus and leadership on another one of our top priorities. With our Quality Excellence Initiative, we have increased accountability and accelerated progress against our engineering objectives to ensure we always deliver durable, high quality-experiences at global scale. And Charlie will partner closely with Scott Guthrie and Mala Anand on this work. I’m excited to welcome Hayete back to Microsoft to advance this mission critical work, and grateful to Charlie for all he has done for our security business and what he will continue to do for the company. Satya The post Updates in two of our core priorities appeared first on The Official Microsoft Blog. ​Satya Nadella, Chairman and CEO, posted the below message to employees on Viva Engage this morning. I am excited to share a couple updates in two of our core priorities: security and quality. Hayete Gallot is rejoining Microsoft as Executive Vice President, Security, reporting to me. I’ve also asked Charlie Bell to take on a… The post Updates in two of our core priorities appeared first on The Official Microsoft Blog.  Featured, The Official Microsoft Blog The Official Microsoft Blog

Today’s data release marks our second full year of regular releases since the launch of the GitHub Innovation Graph. The Innovation Graph serves as a stable, regularly updated source for aggregated statistics on public software development activity around the world, informing public policy, strengthening research, guiding funding decisions, and equipping organizations with the evidence needed to build secure and resilient AI systems.   Updated bar chart races With our new data release, we’ve updated the bar chart race videos to the git pushes, repositories, developers, and organizations global metrics pages. Let’s take a look back at some of the progress the Innovation Graph has helped drive.  Academic papers One of the most rewarding aspects of the past year has been seeing the growing range of research questions addressed with Innovation Graph data. Recent papers have explored everything from global collaboration networks to the institutional foundations of digital capabilities. These studies showcase how network analysis techniques can be applied to Innovation Graph data, in addition to  earlier work we referenced last year linking open source to economic value, innovation measurement, labor markets, and AI-driven productivity through other methodologies. Historical Institutions and Modern Digital Capabilities: New Evidence from GitHub in Africa Research by an economist at the Federal Reserve Board uses GitHub data to examine how the density of Protestant mission stations correlates with present-day participation in digital production across African countries. Olana, Deriba, “Historical Institutions and Modern Digital Capabilities: New Evidence from GitHub in Africa” (November 25, 2025). Available at SSRN: https://ssrn.com/abstract=5805622 or http://dx.doi.org/10.2139/ssrn.5805622. The Structure of Cross-National Collaboration in Open-Source Software Development Researchers from MIT, Carnegie Mellon, and the University of Chicago analyze international collaboration patterns in the Innovation Graph’s economy collaborators dataset, shedding light on how common colonial histories influence modern software development collaboration activities. Xu, Henry, et al. “The Structure of Cross-National Collaboration in Open-Source Software Development,” (November 10, 2025). Available at doi.org/10.1145/3746252.3761237. Replication package available at https://github.com/hehao98/github-innovation-graph.   Small-World Phenomenon of Global Open-Source Software Collaboration on GitHub A social network analysis by researchers at Midwestern State University and Tarleton State University highlights the tightly connected, small-world structure of global OSS collaboration. Zhang, Guoying, et al. “Small-World Phenomenon of Global Open-Source Software Collaboration on Github: A Social Network Analysis.” Journal of Global Information Management Vol. 33, No. 1 (2025). Available at doi.org/10.4018/JGIM.387412.  The Software Complexity of Nations These researchers extend countries’ software economic complexity into the digital economy by leveraging the geographic distribution of programming languages in open source software, showing that software economic complexity predicts GDP, income inequality, and emissions, which have important policy implications. Juhász, Sándor, et al. “The Software Complexity of Nations.” Research Policy Vol. 55, No. 3. Available at doi.org/10.1016/j.respol.2026.105422. Conferences The Innovation Graph and related GitHub datasets were featured prominently in academic and policy discussions at a wide range of venues, including: ATLC25: The 10th Atlanta Conference on Science and Innovation Policy OpenForum Academy Symposium 2025 2nd CEU Vienna Data Analytics Jamboree Wharton Human-AI Research: 3rd Annual Business & Generative AI Conference News publications We were also encouraged to see Innovation Graph data referenced in major international reporting. In 2025, two pieces in The Economist drew on GitHub data examining China’s approach to open technology (June 17, 2025) and India’s potential role as a distinctive kind of AI superpower (September 18, 2025). Coverage like this reinforces the role that data on open source activity can play in understanding geopolitical and economic shifts. Reports Once again, Innovation Graph data contributed to several flagship reports, including: The 2025 Stanford AI Index Report The 2025 WIPO Global Innovation Index The Rise of FOSS in India report from the National Law School of India University We continue to value these opportunities to support macro-level measurement efforts, and we’re equally excited by complementary work that dives deeper into regional, institutional, and community-level dynamics. Moving forward As we move through 2026, we’re grateful for the community that has formed around the Innovation Graph, and we’re looking forward to building the next chapter together. Our focus will be on deepening collaboration, welcoming new perspectives, and creating clearer pathways for people to apply the Innovation Graph data in their own contexts, from strategy and research to product development and policy. The post Year recap and future goals for the GitHub Innovation Graph appeared first on The GitHub Blog. ​ News & insights, Policy, Innovation Graph, open source The GitHub Blog

At Microsoft Ignite in November, we introduced Frontier Transformation — a holistic reimagining of business aligning AI with human ambition to help organizations achieve their highest aspirations and growth potential. While AI Transformation centered on efficiency and productivity, Frontier Transformation challenges us to do more for humanity by democratizing intelligence to unlock creativity and innovation for organizations and people around the world. Across industries, our customers are leading the way to becoming Frontier; sharing three common traits anchored in a foundation of Intelligence + Trust. AI in the flow of human ambition, putting Copilots and agents directly in the tools people use; and ubiquitous innovation, empowering the maker in every role. These capabilities are served through Microsoft’s new intelligence layer: Work IQ, which understands how people work; Fabric IQ, which provides a trusted semantic layer for reasoning over an organization’s data; and Foundry IQ, the world’s leading AI app server powering safe, scalable agent experiences. Together, these capabilities put the “I” back in AI by grounding Copilots and agents in an organization’s own data, logic and workflows to fully understand operations and drive decisions that matter most. The third trait is observability at every layer of the stack; ensuring trust, safety and reliable outcomes. As the control plane to observe, govern and secure all AI artifacts, Agent 365 provides a unified view of every AI agent running in an organization’s environment — whether built on Microsoft’s platforms or others. Our customers and partners are showcasing what can be achieved with Frontier Transformation and human ambition paired with Copilots + agents, and I am pleased to share their stories — including many onstage with us at Ignite. Their journeys demonstrate what is possible for organizations everywhere when AI-first innovation is built upon Intelligence + Trust. YouTube Video Click here to load media Putting AI in the flow of human ambition so people can achieve more in every role, across every industry Using a secure Azure foundation, Epic embedded AI directly into clinical workflows, enabling hundreds of thousands of clinicians worldwide to work faster and deliver higher quality care. Epic AI generates documentation in the flow of work, reducing time spent on prior authorization questions by over 40% and surfacing critical insights that could be missed during manual review. In one month alone, Epic AI automatically generated more than 16 million patient record summaries, helping clinicians reduce administrative workload and speed time to treatment. AI-driven imaging follow-up also boosted early cancer detection at the Christ Hospital to 69%, far above the national 46% average. By delivering real improvements like these today, Epic is building confidence and familiarity that will accelerate adoption of tomorrow’s AI-enabled breakthroughs in precision medicine, drug discovery and the understanding of disease. To create a consistent experience across its entire workforce, heritage brand Levi Strauss & Co. standardized on Windows 11, Copilot+ PCs, Intune, Microsoft 365 Copilot and Microsoft Foundry to give every team — from designers to retail associates to distribution centers — a modern, AI-powered workplace. With Copilot and agents accelerating workflows and eliminating fragmentation across legacy systems, teams can model demand faster, bring products to market with greater precision and spend more time on creative and commercial work that strengthens the brand. They are also reducing operational noise, strengthening security and scaling insights across design, merchandising, retail and supply chain. With a unified, secure Microsoft platform, Levi’s is enriching the employee experience, driving sharper execution and building durable advantage in an increasingly dynamic market. London Stock Exchange Group (LSEG) is unifying the data foundation of global finance by modernizing its platform on Microsoft Fabric and bringing trusted financial intelligence directly into Microsoft 365 Copilot. The company has consolidated 30 legacy data systems, 1,200 datasets and more than 33 petabytes of financial content into a single, governed environment. This unified foundation is now delivering faster, cleaner insights to 44,000 customers in over 170 countries and cutting product development timelines from years to months. With Fabric and Copilot working together, financial professionals can access LSEG’s expansive data and analytics directly in the flow of work — helping them make decisions with greater speed and confidence while reducing friction across risk modeling, regulatory compliance and investment workflows. By simplifying the data estate first, LSEG is safely surfacing insights through Microsoft 365 Copilot and empowering teams across the organization to innovate with consistency, compliance and at global scale. The University of Manchester is the first higher education institution in the world to provide Microsoft 365 Copilot access and training to all 65,000 students and staff. Learners and researchers will gain equitable access to Copilot-powered tools to strengthen teaching, accelerate interdisciplinary discovery and build future-ready skills. For students, this is an essential aid for revision, translation and academic success; while university leadership can ensure responsible use policies and training so every student can use AI ethically and confidently. Researchers can synthesize vast volumes of information across fields from photonic materials to biomedical science, enabling faster progress on challenges from cancer treatment to sustainable manufacturing; while operationally, Copilot helps administrative staff free their time for higher value work. The University of Manchester is defining a new model for modern higher education by pairing its decades of AI innovation with equitable access to cutting edge AI tools that prepare the next generation of citizens, innovators and creators. Inspiring the maker in every one of us with ubiquitous innovation that amplifies creativity and accelerates impact Adobe is redefining creativity, productivity and customer experience by infusing AI deeply into its product ecosystem, powered by Azure, Copilot and Microsoft Foundry. By supporting third-party models directly inside Adobe Firefly, creators can choose the best model for the job while unlocking new agentic capabilities across Photoshop, Acrobat and Adobe’s Customer Experience Orchestration solutions; resulting in significant acceleration in workflows through AI-driven agents. With daily use of GitHub Copilot, its engineering organization is boosting developer productivity and speed to innovation. The company is also focused on enterprise-grade governance and data provenance to help customers trust and verify content as AI adoption grows — further reinforced by Adobe Marketing Agent for Microsoft 365 Copilot as part of the Agent 365 preview. By combining open model choice with responsible AI infrastructure, Adobe is giving customers creative choice and operational confidence, while unlocking faster innovation, without compromising security, trust or brand integrity. In an industry facing unprecedented pressure — from rising costs to shrinking margins — Land O’Lakes is

In December, we experienced five incidents that resulted in degraded performance across GitHub services.  December 08 19:51 UTC (lasting 1 hour and 15 minutes) Between November 26, 2025, at 02:24 UTC and December 8, 2025 at 20:26 UTC, enterprise administrators experienced a disruption when viewing agent session activities in the Enterprise AI Controls page. During this period, users were unable to list agent session activity in the AI Controls view. This did not impact viewing agent session activity in audit logs, directly navigating to individual agent session logs, or otherwise managing AI agents. The issue was caused by a misconfiguration in a change deployed on November 25 that unintentionally prevented data from being published to an internal Kafka topic responsible for feeding the AI Controls page with agent session activity information. The problem was identified and mitigated on December 8 by correcting the configuration issue. GitHub is improving monitoring for data pipeline dependencies and enhancing pre-deployment validation to catch configuration issues before they reach production. December 15 17:43 UTC (lasting 39 minutes) On December 15, 2025, between 15:15 UTC and 18:22 UTC, Copilot Code Review experienced a service degradation that caused 46.97% of pull request review requests to fail, requiring users to re-request a review. Impacted users saw the error message: “Copilot encountered an error and was unable to review this pull request. You can try again by re-requesting a review.” The remaining requests completed successfully. The degradation was caused by elevated response times in an internal, model-backed dependency, which led to request timeouts and backpressure in the review processing pipeline, resulting in sustained queue growth and failed review completion. We mitigated the issue by temporarily bypassing fix suggestions to reduce latency, increasing worker capacity to drain the backlog, and rolling out a model configuration change that reduced end-to-end latency. Queue depth and request success rates returned to normal and remained stable through peak traffic. Following the incident, we increased baseline worker capacity, added instrumentation for worker utilization and queue health, and are improving automatic load-shedding, fallback behavior, and alerting to reduce time to detection and mitigation for similar issues. December 18 16:33 UTC (lasting 1 hour and 8 minutes) On December 18, 2025, from 08:15 UTC to 17:11 UTC, some GitHub Actions runners experienced intermittent timeouts for Github API calls, which led to failures during runner setup and workflow execution. This was caused by network packet loss between runners in the West US region and one of GitHub’s edge sites. Approximately 1.5% of jobs on larger and standard hosted runners in the West US region (0.28% of all Actions jobs) were impacted during this period. By 17:11 UTC, all traffic was routed away from the affected edge site, mitigating the timeouts. We are working to improve early detection of cross-cloud connectivity issues and faster mitigation paths to reduce the impact of similar issues in the future. December 18 17:36 UTC (lasting 1 hour and 33 minutes) On December 18, 2025, between 16:25 UTC and 19:09 UTC, the service underlying Copilot policies was degraded and users, organizations, and enterprises were not able to update any policies related to Copilot. No other GitHub services, including other Copilot services, were impacted. This was due to a database migration causing a schema drift. We mitigated the incident by synchronizing the schema. We have hardened the service to make sure schema drift does not cause any further incidents, and we will investigate improvements in our deployment pipeline to shorten time to mitigation in the future. December 22 22:31 UTC (lasting 1 hour and 46 minutes) On December 22, 2025, between 22:01 UTC and 22:32 UTC, unauthenticated requests to github.com were degraded, resulting in slow or timed out page loads and API requests. Unauthenticated requests from Actions jobs, such as release downloads, were also impacted. Authenticated traffic was not impacted. This was due to a severe spike in traffic, primarily to search endpoints. Our immediate response focused on identifying and mitigating the source of the traffic increase, which along with automated traffic management restored full service for our users. We improved limiters for load to relevant endpoints and are continuing work to more proactively identify these large changes in traffic volume, improve resilience in critical request flows, and improve our time to mitigation. Follow our status page for real-time updates on status changes and post-incident recaps. To learn more about what we’re working on, check out the engineering section on the GitHub Blog. The post GitHub Availability Report: December 2025 appeared first on The GitHub Blog. ​ Company news, News & insights, GitHub Availability Report The GitHub Blog