12/18/2025
Table of ContentsAs 2025 unfolded, organizations moved beyond experimentation and into the more challenging task of operationalizing AI at scale. Decision-makers, IT leaders, and practitioners faced growing pressure to govern AI responsibly, secure expanding data estates, and maintain resilience across increasingly complex cloud environments.
This year’s most-read AvePoint blogs reflect that shift. From agent-enabled tools and AI security frameworks to data quality, backup resilience, and public-sector readiness, these reads focus on real-world challenges and practical action. Together, they offer a clear picture of how organizations are putting governance into motion and building confidence in how AI and data are managed.
Here are our best reads of 2025:
AI Adoption
Agentic AI vs. GenAI: Why Knowing the Difference Matters
As AI capabilities expand, this blog clarifies the practical distinction between generative AI (GenAI) and agentic AI, and why it matters for enterprise decision-making. The blog helps leaders understand how autonomy, orchestration, and intent change risk profiles and operational expectations as AI moves from assistance to action.
What Are Copilot Studio Agents? (And Why They Matter for the Future of Work)
Copilot Studio agents are reshaping how work gets done inside Microsoft environments. This piece explains what these agents are, how they operate, and why organizations need to think early about visibility, controls, and ownership as adoption accelerates.
AI Security
The Hidden Risks of Copilot Studio Agents and How to Govern Them Responsibly
As agents gain access to data and workflows, the security implications grow quickly. This blog breaks down the less obvious risks associated with Copilot Studio agents and outlines governance principles organizations can apply to reduce exposure without slowing innovation.
The Future of AI in Business: Navigating Data Security and Governance
This article takes a broader view of AI adoption, focusing on the foundational role of data security and governance. It reinforces why strong controls, clear accountability, and policy-driven oversight are essential for AI initiatives to deliver long-term value.
Gemini AI Security in Google Workspace: A Comprehensive Guide
For organizations operating in Google Workspace, this guide offers a clear look at Gemini AI’s security considerations. It walks through access, data handling, and governance implications in a way that supports informed rollout decisions.
Enjoy these other great reads on AI Security:
- The DeepSeek Disruption: How Affordable AI is Changing the Game and Why Data Security is More Critical Than Ever
- AI TRiSM Framework: Complete Guide to Trust, Risk, and Security in AI
- Ensuring Data Security in the Age of AI
Data Management
Building AI Excellence: A Framework for Data Quality and Classification
AI performance depends on the quality of the data behind it. This article outlines a practical framework for improving data quality and classification, helping organizations prepare their data estates for more reliable and responsible AI use.
Gearing Up for Copilot: How AvePoint’s Confidence Platform Soars Above SharePoint Advanced Management
As Microsoft 365 Copilot adoption increases, so do expectations around readiness and control. This blog explains how the AvePoint Confidence Platform supports deeper visibility, stronger governance, and operational confidence beyond native SharePoint capabilities.
Governance
AgentPulse
See Every Agent. Gain Confidence.
Track every AI agent and reduce risk with the AgentPulse Command Center, powered by the AvePoint Confidence Platform.
Introducing AgentPulse: Bringing Governance to the Age of AI Agents
The AgentPulse Command Center, powered by the AvePoint Confidence Platform, represents a meaningful step forward in governing AI agents at scale. This blog introduces how organizations can gain visibility into agent behavior, apply policy controls, and manage risk as agents become embedded in everyday business processes.
What Is Microsoft Dataverse, and How Can You Leverage Its Capability?
Dataverse plays a growing role in Microsoft’s data ecosystem. This article explains how it works, where it fits, and what organizations should consider when leveraging it as part of broader governance and data management strategies.
How AvePoint Is Using AI to Transform Business Inside and Out
This piece offers a practical look at how AvePoint applies AI internally and across customer-facing solutions. It reinforces how governance, security, and operational discipline underpin successful AI transformation.
Risk Management
Anatomy of an IaaS and PaaS Attack
Understanding how attacks unfold in cloud infrastructures, whether it's infrastructure-as-a-service (IaaS) or platform-as-a-service (PaaS), is critical to preventing them. This blog walks through the anatomy of IaaS and PaaS attacks, highlighting where organizations are most vulnerable and what controls can be implemented to reduce risk.
AvePoint Confidence Platform for the Public Sector Achieves 2025 FedRAMP Reauthorization: Here’s What to Know
A gold standard for cloud security in the US public sector, a FedRAMP authorization signifies that cloud service providers meet strict security, risk management, and data protection standards. This article explains what AvePoint’s FedRAMP (moderate) reauthorization means and why it matters for US government agencies prioritizing security, compliance, and operational resilience.
DLP vs. DSPM: What’s the Difference?
As data protection strategies mature, confusion between data loss prevention (DLP) and data security posture management (DSPM) is common. This blog clearly distinguishes the two, helping organizations understand where each fits and how they complement broader security programs.
Enjoy these other great reads on risk management:
- What is Data Security: The Complete Guide
- How Department of Defense Contractors Can Reduce Risk and Cost While Tackling the CMMC Final Rule
- What is Data Security Posture Management (DSPM)?
Backup and Recovery
The Ultimate Guide to Resiliency: Why Backup Alone Isn’t Enough
Backup is necessary, but it is no longer sufficient on its own. This guide explains why resilience requires a broader approach that includes recovery speed, data integrity, and operational readiness.
Cloud Backup for Google Workspace: 4 Ways to Go Beyond Backup in 2025
This blog explores how organizations can strengthen Google Workspace resilience beyond basic backup. It focuses on governance, recovery confidence, and long-term data protection strategies.
What Is Google Vault and the Shift From Retention to Resilience
Retention tools alone cannot address modern recovery needs. This article explains Google Vault’s role and why organizations are rethinking retention as part of a broader resilience strategy.
MSP and Channel Trends
Why Partners Need Baseline Management to Deliver Scalable, Secure Services
As managed service environments grow more complex, consistency becomes critical. This blog explains how baseline management helps partners deliver secure, scalable services without increasing operational burden.
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Vendor Consolidation: How MSPs Can Conquer Sprawl
Tool sprawl creates inefficiency and risk for managed service providers (MSPs). This article explores how vendor consolidation can simplify operations while strengthening security and governance outcomes.
How MSPs Streamline Microsoft 365 Compliance and Multi-Tenant Management Using Baseline
Managing compliance across tenants is a persistent challenge for MSPs. This blog shows how baseline-driven approaches can improve consistency, visibility, and control across Microsoft 365 environments.
The most-read AvePoint blogs of 2025 reflect that this year is about governing AI agents, securing data across platforms, strengthening resilience, and operationalizing trust at scale. As AI becomes more embedded in daily work, disciplined governance and security are no longer optional.
Defining What “Responsible at Scale” Looks Like for AI and Data
The most-read AvePoint blogs of 2025 show how organizations are moving from intention to execution. Across AI agents, data security, governance, and resilience, the focus has shifted to building systems that can be trusted at scale. These reads reflect the practical decisions leaders are making to operationalize control without slowing innovation. As AI adoption accelerates, AvePoint remains committed to setting the standard for responsible, secure, and resilient data management, delivering insights and solutions that help organizations lead with confidence.