AvePoint adds Google Cloud to AI AgentPulse control

AvePoint has launched AgentPulse Command Centre for general use and expanded its observability coverage to include Google Cloud, targeting governance and cost control for autonomous AI agents across multiple cloud environments.

The release moves AgentPulse Command Centre from private preview into general availability. It expands visibility across Microsoft 365 and Google Cloud services, including Copilot Studio, Microsoft Foundry, SharePoint agents, and Google Vertex AI.

Over the past year, firms have increased spending on AI assistants and agent frameworks, bringing new operational risks. IT teams can struggle to track where agents are deployed, what data they access, and who created them. Unmanaged tools can also drive consumption-based costs that only become clear when invoices arrive.

Multicloud visibility

AgentPulse Command Centre provides a consolidated view of agent activity across cloud platforms, with plug-and-play visibility into usage, creation, and inventory trends. It is designed to work across tenant boundaries and different agent-building approaches.

This focus targets "shadow AI"-tools and agents created outside formal oversight. Staff can now build agents through low-code tools or configure them inside collaboration suites, resulting in fragmented environments with limited central tracking and uneven policy enforcement.

The Command Centre is positioned as a single interface for monitoring and governance, showing where agents exist and how they are used. It also includes cost controls for pay-per-use models, where activity can translate directly into charges.

Google Cloud scope

The Google Cloud expansion adds agent observability alongside broader controls for Google environments, including Google Drive security posture management. These functions identify sensitive files, analyse sharing permissions, and audit external access.

The product also assesses inactive, redundant, obsolete, and trivial data-commonly abbreviated as IROT. While often treated as a data quality and storage issue, it can also affect AI outputs when models and agents draw on outdated or duplicated information.

AvePoint also highlighted Google Cloud infrastructure protection for data used by AI agents, describing the combination as a way to manage risk across people, drives, agents, and data while keeping governance aligned across Microsoft and Google environments.

Jeremy Thake, Chief Architect at AvePoint, said customers increasingly operate across more than one platform.

"The expansion to Google Cloud reflects what we're hearing from customers and what we know to be true: AI agents don't live in single-platform environments," Thake said. "Organisations need unified governance and data protection across their entire cloud ecosystem. With AgentPulse now supporting both Microsoft 365 and Google Cloud, IT teams can finally manage AI agent risks with confidence, regardless of where their data and collaboration tools live."

Governance and cost

AvePoint said AgentPulse addresses three operational pressures: tracking pay-per-use costs to avoid unexpected bills, identifying and remediating accidental data oversharing, and enforcing governance and data security requirements across agents.

Those requirements increasingly extend beyond conventional access controls. Many organisations now need to define which datasets agents can access, what actions they can take, and how they log activity for audit-especially when agents can create content, retrieve internal documents, or interact with external services.

AvePoint said the product includes granular data loss prevention capabilities as part of its governance approach. DLP policies typically aim to prevent sensitive information from being exposed or transmitted. Applied to agents, they can add monitoring around prompts, retrieval, and outputs, depending on how tools integrate into an environment.

John Peluso, Chief Technology Officer at AvePoint, framed the launch as a shift from experimentation to broad deployment.

"We've reached a turning point for agentic AI adoption at the enterprise level," Peluso said. "Organisations are no longer exploring whether or not to deploy AI agents; they're now trying to do this responsibly and at scale. AgentPulse makes this possible by giving organizations the visibility they need to ensure that every agent operates as efficiently as possible, within governance guardrails, and without hidden costs."

AgentPulse Command Centre now supports governance and monitoring across Microsoft 365 and Google Cloud environments, with multicloud observability positioned as a core feature as organisations build and run AI agents across different collaboration and cloud stacks.