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AvePoint Announces Expanded Strategic Partnership With Microsoft To Help Organizations Deploy, Govern, Secure, And Optimize AI Across Enterprises

Benzinga Newsdesk 1 hour ago

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Building on a 25-year partnership, AvePoint combines AI innovation with the governance, resilience, and control required for enterprise adoption in collaboration with MicrosoftAvePoint solutions extend AI trust across

  • Building on a 25-year partnership, AvePoint combines AI innovation with the governance, resilience, and control required for enterprise adoption in collaboration with Microsoft
  • AvePoint solutions extend AI trust across data, infrastructure, and agents as adoption of Microsoft Copilot, Agent 365, Copilot Studio, and Microsoft Foundry accelerates

JERSEY CITY, N.J., Nov. 10, 2026 (GLOBE NEWSWIRE) -- AvePoint (NASDAQ:AVPT, SGX: AVP))), the AI Trust Company, today announced an expanded strategic partnership with Microsoft to help organizations deploy, govern, secure, and optimize AI across their enterprises. Building on nearly 25 years of collaboration, and a track record that includes six global Microsoft Partner of the Year awards, the next phase of this relationship reflects a shared commitment and increased investment in supporting organizations with the governance, security, resilience, and operational controls needed to unlock AI's full business value.

As organizations accelerate adoption of Microsoft Copilot, Agent 365, Copilot Studio, Microsoft Foundry, Microsoft 365, and Microsoft Azure, many face a growing challenge: how to maintain visibility, control, and recoverability across an increasingly complex AI estate. AvePoint's 2026 State of AI Report found that nearly 9 in 10 organizations delayed AI initiatives due to data security and management concerns, underscoring a broader reality that AI adoption is advancing faster than many organizations can govern it. As organizations move from experimentation to enterprise-scale AI deployment, success increasingly depends on combining leading AI platforms with the governance, security, resilience, and operational expertise needed to deploy AI with confidence.

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