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Microsoft releases MAI Cyber 1.1 Flash

On October 27, 2026, Microsoft AI launched MAI Cyber 1.1 Flash. The model is now available to verified customers through MDASH; existing customers can use it by selecting the MAI Cyber 1.1 Flash profile when creating a new scan. According to the Microsoft AI blog, on the internal MDASH vulnerability scanning evaluation suite, its performance is comparable to MAI Cyber 1 Flash, with the cost per scan reduced by 18%. Microsoft also stated that MAI Cyber currently accounts for nearly 50% of all MDASH scans, and that after customers first use the MAI Cyber 1 Flash profile, nearly 90% of subsequent scans continue to use an MAI profile rather than a profile that uses only OpenAI models. The next day, Testing Catalog reported that the model had gone live on MDASH, and cited Mustafa Suleyman as saying that over the past 30 days, user adoption of MAI Cyber models among security tools had doubled to 50%.

Microsoft releases MAI Cyber 1.1 Flash

On October 27, 2026, Microsoft AI launched MAI Cyber 1.1 Flash. The model is now available to verified customers through MDASH; existing customers can use it by selecting the MAI Cyber 1.1 Flash profile when creating a new scan. According to the Microsoft AI blog, on the internal MDASH vulnerability scanning evaluation suite, its performance is comparable to MAI Cyber 1 Flash, with the cost per scan reduced by 18%. Microsoft also stated that MAI Cyber currently accounts for nearly 50% of all MDASH scans, and that after customers first use the MAI Cyber 1 Flash profile, nearly 90% of subsequent scans continue to use an MAI profile rather than a profile that uses only OpenAI models. The next day, Testing Catalog reported that the model had gone live on MDASH, and cited Mustafa Suleyman as saying that over the past 30 days, user adoption of MAI Cyber models among security tools had doubled to 50%.

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Microsoft Research introduces Flint-interactive, an interactive visualization language

On October 23, 2026, Microsoft Research introduced Flint-interactive, an interactive data visualization language built on top of Flint, aimed at enabling agents to generate interactive charts. According to its introduction, the language allows charts generated by agents to support clicking, filtering, zooming, highlighting, and cross-chart linking; it uses the Flint compiler to parse raw triggers such as clicks and drags into semantic events, so users only need to describe update behaviors with high-level operators without writing low-level visualization code. The language is already usable in conversations through Flint-MCP and MCP Apps, and it also provides a programming API for developers to build dashboards and data stories. There are currently no subsequent development facts.

Microsoft Research introduces the Flint-interactive interactive visualization language

On October 23, 2026, Microsoft Research introduced Flint-interactive, an interactive data visualization language built on top of Flint, aimed at enabling agents to generate interactive charts. According to its introduction, the language allows charts generated by agents to support clicking, filtering, zooming, highlighting, and cross-chart linking; it uses the Flint compiler to parse raw triggers such as clicks and drags into semantic events, so users only need to describe update behaviors with high-level operators without writing low-level visualization code. The language is already usable in conversations through Flint-MCP and MCP Apps, and it also provides a programming API for developers to build dashboards and data stories. There are currently no subsequent development facts.

View story:Microsoft Research introduces Flint-interactive, an interactive visualization language

Microsoft researchers prove the KLS conjecture

Microsoft Research researcher Xinzhi Zhang and co-authors proved the KLS conjecture proposed in 1995, giving a dimension-independent fixed bound; the previous best result only allowed the bound to grow slowly with dimension. According to Microsoft Research, the proof came from a human-guided agent search process, in which the team explored more than 100 candidate paths, which researchers evaluated, pruned, and redirected. An independent team also gave a complete proof around the same time, followed by Lean 4 formal verification. The authors state that previous unguided end-to-end attempts with multiple frontier models failed to achieve the goal. Another report states that AI agents explored about 100 research paths, the draft was about 140 pages, AI was responsible for exploring candidate methods, executing derivations, assisting in writing the manuscript, and performing internal proof checks, while the recursive method and error bounds that completed the proof are credited to the two researchers.

Microsoft researchers prove the KLS conjecture

Microsoft Research researcher Xinzhi Zhang and co-authors proved the KLS conjecture proposed in 1995, giving a dimension-independent fixed bound; the previous best result only allowed the bound to grow slowly with dimension. According to Microsoft Research, the proof came from a human-guided agent search process, in which the team explored more than 100 candidate paths, which researchers evaluated, pruned, and redirected. An independent team also gave a complete proof around the same time, followed by Lean 4 formal verification. The authors state that previous unguided end-to-end attempts with multiple frontier models failed to achieve the goal. Another report states that AI agents explored about 100 research paths, the draft was about 140 pages, AI was responsible for exploring candidate methods, executing derivations, assisting in writing the manuscript, and performing internal proof checks, while the recursive method and error bounds that completed the proof are credited to the two researchers.

View story:Microsoft researchers prove the KLS conjecture

Microsoft expands sovereign cloud portfolio

On October 21, 2026, Microsoft expanded its sovereign cloud portfolio, adding security, governance, and AI capabilities. According to Computerworld, the expansion includes the launch of Sovereign Control Panel, general availability of Azure Managed HSM external key management, limited preview of Azure Confidential Clean Rooms, and Foundry Local becoming generally available at Ignite with support for local inference and agentic retrieval. For EU and EFTA customers, Microsoft also introduced Data Guardian, with remote access requests independently overseen by regional partners. The report also mentions analyst views: the three major US hyperscale cloud providers still account for about 70% of the European cloud market, and on-premises deployment cannot eliminate legal and technical dependencies. The expansion is currently in a released state, with no subsequent development facts yet.

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On October 21, 2026, Microsoft expanded its sovereign cloud portfolio, adding security, governance, and AI capabilities. According to Computerworld, the expansion includes the launch of Sovereign Control Panel, general availability of Azure Managed HSM external key management, limited preview of Azure Confidential Clean Rooms, and Foundry Local becoming generally available at Ignite with support for local inference and agentic retrieval. For EU and EFTA customers, Microsoft also introduced Data Guardian, with remote access requests independently overseen by regional partners. The report also mentions analyst views: the three major US hyperscale cloud providers still account for about 70% of the European cloud market, and on-premises deployment cannot eliminate legal and technical dependencies. The expansion is currently in a released state, with no subsequent development facts yet.

View story:Microsoft expands sovereign cloud portfolio

Nadella says @saintgobain is using Microsoft Discovery to accelerate materials R&D

Microsoft CEO Satya Nadella said the Saint-Gobain team is using Microsoft Discovery to accelerate the development of new, more efficient building materials. On October 20, 2026, Nadella met with the Saint-Gobain team in Paris to learn how they are advancing this work with Microsoft Discovery. Currently, this information consists only of Nadella's account of the meeting, with no further developments yet.

Nadella says @saintgobain uses Microsoft Discovery to accelerate materials R&D

Microsoft CEO Satya Nadella said the Saint-Gobain team is using Microsoft Discovery to accelerate the development of new, more efficient building materials. On October 20, 2026, Nadella met with the Saint-Gobain team in Paris to learn how they are advancing this work with Microsoft Discovery. Currently, this information consists only of Nadella's account of the meeting, with no further developments yet.

View story:Nadella says @saintgobain is using Microsoft Discovery to accelerate materials R&D

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Microsoft releases the Microsoft-Decision-1 decision scoring model

On October 9, Microsoft launched the Microsoft-Decision-1 decision model. The model does not generate text; instead, it performs a single forward-pass scoring of preset answer options and returns a calibrated probability for each option, and can be used for routing, classification, prioritization, and verification. The model is post-trained on Alibaba's Qwen3.5-9B, is in public beta on Microsoft Foundry, and is available on OpenRouter under the identifier microsoft/microsoft-decision-1; its weights are not distributed publicly. Microsoft says it achieved 83.5% accuracy on 36 benchmarks and about 150,000 held-out questions, and plans to later migrate the base to MAI and OpenAI models. The OpenRouter listing shows a price of $0.042 per million input tokens and free output. Other reports say it is 2.5 times faster than the second-place H2O-Lightning-4B.

Microsoft releases Microsoft-Decision-1

On October 9, Microsoft launched the Microsoft-Decision-1 decision model. The model does not generate text; instead, it performs a single forward-pass scoring of preset answer options and returns a calibrated probability for each option, and can be used for routing, classification, prioritization, and verification. The model is post-trained on Alibaba's Qwen3.5-9B, is in public beta on Microsoft Foundry, and is available on OpenRouter under the identifier microsoft/microsoft-decision-1; its weights are not distributed publicly. Microsoft says it achieved 83.5% accuracy on 36 benchmarks and about 150,000 held-out questions, and plans to later migrate the base to MAI and OpenAI models. The OpenRouter listing shows a price of $0.042 per million input tokens and free output. Other reports say it is 2.5 times faster than the second-place H2O-Lightning-4B.

View story:Microsoft releases the Microsoft-Decision-1 decision scoring model