A Holistic Approach to Government Compliance in Microsoft 365

Ensure your agency's compliance requirements are met with AvePoint's portfolio of SaaS solutions

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Event Information

  • 1 Hour


Alexander Dick

Manager of Public Sector, AvePoint

Bruce Berends

Product Strategy Lead, AvePoint

Federal and state government agencies have greatly accelerated their digital transformations in the wake of the pandemic.

This includes an automated workspace management system to increase security and data protection across all Microsoft 365 workspaces that will ultimately decrease end-user frustration with the different services and workspace types in the platform.

In this session our public sector collaboration experts will explore the process needed to transform your government organisation within 4 key areas. They will show you best practices from how other government agencies have been solving these challenges with Microsoft 365 and AvePoint’s IRAP certified solutions.


Discover how you can utilise AvePoint’s toolset to meet your workspace management requirements to build out your Information Architecture, whilst showcasing how it can reduce both security risk with permissions management as well as how you can reduce the overall management cost of Microsoft 365.

Records and Information Management

Ensure any content created or uploaded to M365 meets your compliance and records management requirements, including NAA standards, with AvePoint’s records management solutions.


To assist with meeting your records requirements, it is preferable to have a single source of truth for your records and reporting integrity. Learn how AvePoint can help migrate content from a variety of current and legacy solutions to M365 and provide compliance advisory services to help in this process.

Data Protection

Once all your content is in M365, you need to ensure that it’s protected against malicious ransomware or malware attacks and that your solution is meeting Essential 8 guidelines. Learn how AvePoint can help you reduce the risk of data loss.

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