Migrating to Google Workspace? Build Security and Governance That Scales Across Clouds

Enterprises, commercial deployments, and even the public sector – including state and local governments and civilian and defense federal environments – are increasingly adding Google Workspace to their cloud environments. This decision is driven by competitive pricing models, innovative AI, and evolving platform strategies.

The U.S. Department of Transportation became the first cabinet-level agency to fully transition its 50,000-employee workforce to Google Workspace with Gemini, through a deal where a 71% government-wide pricing discount opened the door, but AI integration proved the deciding factor. However, this isn’t a one-off scenario. Gartner projects that through 2030, the number of organizations that have migrated to Google Workspace will triple annually to take advantage of new AI features.

We are observing this shift in our customer base, where companies are complementing their Microsoft environment with Google Workspace. They're landing in a multicloud reality where governance needs to work across both environments, not just the one they started in.

Why Governance and Your Users Need to Coexist Across Clouds

Most cloud migrations don't end with a full platform swap because of unique departmental use cases and legacy connectors that introduce complexity. They create a collaboration coexistence model: subsets of users and workloads split across Microsoft 365 and Google Workspace.

However, without unified oversight, multicloud environments introduce fragmentation. Gartner predicts that more than 50% of organizations will fall short of expected outcomes from their multicloud implementations by 2029, largely due to interoperability gaps and inconsistent governance across platforms.

The strongest governance posture is not designed for one cloud. It is designed to work wherever data lives with consistent policies, unified visibility, and coordinated recovery.

3 Governance Priorities When Migrating to Google Workspace

Transitioning to Google Workspace isn’t just a lift and shift of user, data, and workloads; it calls for an augmentation of operational architecture, policies, and guardrails for collaboration. Gartner identifies information governance, records management, and compliance as key areas where native Google Workspace capabilities require third-party support — and names AvePoint among the recommended solutions to bridge those gaps.

There is a small window to set governance right from the start, and the organizations that do so will need to focus on four areas before complexity sets in. Gartner also predicts 25% of organizations will have experienced significant dissatisfaction with their cloud adoption by 2028, due to unrealistic expectations and suboptimal implementation. It’s an important reminder that migration success depends on operational governance, not just cutover.

Permissions and Access

Shared Drives and SharePoint operate on fundamentally different permission models. During migration, access structures that worked in one environment don't map cleanly to the other, and the gap between them is where unmanaged access and compliance exposures emerge. This is compounded by the fact that organizations relying on Microsoft Purview will have to overcome security and governance gaps to meet strict regulatory compliance. A deep level of data discovery, risk detection, and data loss prevention (DLP) will need to be supplemented in Google Workspace.

AvePoint actively monitors permissions and flags external oversharing or insider risks across Google workloads, giving former Microsoft shops the rigorous compliance guardrails, audit-ready reporting, and structured oversight they expect.

Information and Records Management

Similarly, granular lifecycle management becomes critical post-migration. AvePoint automates the information lifecycle by discovering redundant, obsolete, and trivial (ROT) data and inactive content, applying automated retention schedules, and enforcing defensible deletion to satisfy strict regulatory frameworks such as GDPR, the Health Insurance Portability and Accountability Act (HIPAA), and the National Archives and Records Administration (NARA). Classifications can sync across clouds, so labeling is consistent in Microsoft 365 and Google Workspace. Synced classification also simplifies overhead for multi-cloud setups.

Backup and Recovery

Google Workspace does not include a native backup solution, and Google Vault (often mistaken for one) is designed for retention and eDiscovery. That distinction becomes a business continuity risk the moment an organization begins migrating production workloads. One analysis found that 64% of organizations affected by a major cloud outage experienced more than four hours of downtime, contributing to an estimated $2.8 billion in global economic losses. Without independent backup coverage in place before the transition, organizations have no fallback for a cyberattack, accidental deletion, or misconfigured retention rule.

Backup coverage should be operational from day one of migration, not deferred as a post-cutover task. That means defined recovery objectives, automated backups, and workload retention that hold consistently across Microsoft 365 and Google Workspace. The governance standard set in one environment should extend to the other without gaps. Understanding what causes data loss in Google environments before transitioning into one is what separates preparation from exposure.

AI and Agent Governance

If your environment includes Gemini Enterprise Agent Platform alongside Copilot and Cowork, governance must account for how AI agents access and surface data during and after the transition. Copilot and Gemini governance cannot be treated as separate workstreams; they need a single governance layer that holds across every environment.

Gartner forecasts that 50% of cloud compute resources will be dedicated to AI workloads by 2029, up from less than 10% today — a fivefold increase that demands governance frameworks capable of operating at that scale. For organizations building cross-cloud AI strategies, establishing guardrails for secure AI adoption across multi-cloud environments is what determines whether those capabilities operate with consistent oversight and policy control.

A Google Workspace Migration Framework: Before, During, and After

Governance that scales across clouds requires a lifecycle approach structured around three phases.

Before: Establish Your Foundation

Start by identifying where critical data lives across both environments: collaboration content, email, and infrastructure. Clean up any data you don’t wish to bring over by scanning and removing ROT and inactive content. 

This is also the stage to evaluate where native tools meet your requirements and where they fall short, so recovery and governance gaps are addressed by design, rather than surfaced reactively. Understanding what causes data loss in Google environments before transitioning into one is what separates preparation from reaction.

During: Migrate with Speed and Structure

AvePoint enables migration from Microsoft 365 to Google Workspace with full fidelity while preserving permissions, metadata, and version history. Real-time dashboards give stakeholders live visibility into progress, and incremental syncs keep both environments operational so users experience no downtime during the transition.

Free pre-migration discovery surfaces project size, scope, and complexity before a single object moves. Organizations can identify architecture risks, estimate timelines, and plan workload sequencing to embed governance in the migration process.

After: Automate Security and Governance Guardrails

The next step is to operationalize resilience and governance. Schedule automatic backups, automate content lifecycle policies, and maintain unified visibility into data activity and AI behavior across platforms. This ongoing discipline is what keeps Google Workspace compliance aligned with the governance standard already in place on the Microsoft side. Governance is not static. As workloads expand and AI capabilities evolve, the framework must keep pace.

Governance That Holds Across Every Environment

Migration is one of the few moments where organizations can intentionally and effectively redesign their governance works. The ones that use it well don't replicate what they had in one system; they build a model that operates consistently across both.

The goal is not choosing one cloud over another. It is making sure governance holds — no matter where your data, your users, or your AI agents operate.