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M-Files Launches New AI Capabilities for Microsoft 365 Copilot

M-Files, a global provider of document management solutions, has launched new AI capabilities for Microsoft 365 Copilot and Microsoft 365 Copilot Agent Builder to help organizations generate more accurate, permission-aware outputs using context-enriched enterprise content. The updates build on M-Files' partnership with Microsoft and enable customers to access M-Files content natively within Microsoft 365, while benefiting from its context-first document management approach.

M-Files Adds New Integrations for Microsoft 365 Copilot

M-Files, a leader in context-first document management, is offering new experiences for Microsoft 365 Copilot and Microsoft 365 Copilot Agent Builder that deliver more accurate and trusted results. These advancements build on M-Files' strategic partnership with Microsoft, unlocking Microsoft 365 capabilities for M-Files context-first content and reinforcing the companies' shared vision to help organizations achieve a performance advantage using AI, the company said.

4 insights that prove your AI strategy is a people strategy

When organizations talk about “AI transformation,” they usually start with the technology. But as we explored in our recent webinar with David Mattin (founder of New World, Same Humans) and Miro’s Dom Katz, the hardest part of transformation isn’t the software; it’s the “human hardware.” To put it another way, your AI strategy is a people strategy because it’s employees who will set the tone and the pace of change.

Securing Your Internal Knowledge Amidst Shadow AI

Contemporary organizations must protect their internal knowledge from a growing number of threats. Instances of security and data breaches—which can involve both gaining unauthorized access and extracting (stealing) data from the organization—result in costly fines, ligation, regulatory penalties, loss of reputation, and churn. Users must remain vigilant about both deliberate and inadvertent forms of security breaches.

Rocket.Chat Labs #1: What happens when you throw 1.2M messages at AI search

Welcome to Rocket.Chat Labs: our way of showing what is cooking in the R&D kitchen. No polished demos on curated datasets. No slide decks dressed up as evidence. Just real engineering, real data, and the honest story of what we found. The first in a series where we open up our R&D process: what we built, how we tested it, and what we actually found.

Asana catches security risks before anyone writes a line of code with AI Teammates

Security is what makes it possible to build and ship software with confidence. But in fast-moving engineering teams, it can drift into an afterthought—a final hurdle before launch rather than a voice at the table from day one. Varun Prusty, staff security engineer on Asana's security architecture team, believed it didn't have to work that way, so he built something to prove it.