AvePoint reveals enhanced AI data protection tools for enterprise users

AvePoint introduces AgentPulse Command Centre, advancing AI agent governance across multicloud platforms like Google Cloud and Microsoft 365.

AvePoint has announced the release of its new AgentPulse Command Center, marking a step forward in enterprise-level AI agent governance. This development moves AgentPulse from a private preview phase to a deployment aimed at broad corporate use.

The latest upgrade aims to enable organisations to monitor their suite of AI agents through a single interface. This includes overseeing tools such as Copilot Studio, Microsoft Foundry, SharePoint agents, and Vertex AI. By doing so, it seeks to address challenges including the prevention of shadow AI, avoidance of data leaks, and management of unforeseen expenditures.

AvePoint's expanded multicloud capabilities aim to provide plug-and-play insight into AI agents across a range of platforms. Regardless of cloud environment or agent creation method, users gain unified oversight, seeking to mitigate issues related to unmanaged agents that can lead to increased costs and potential data vulnerabilities.

The expansion also aims to enhance protection for Google Cloud, helping businesses improve control over sensitive data through:

  • Google Drive security posture management: Identifies sensitive files, reviews sharing permissions, and evaluates external access.
  • Data analysis: Assesses inactive and redundant data to improve the quality of AI outputs.
  • Infrastructure protection: Secures critical data necessary for agentic innovation.

These enhancements aim to help enterprises manage risks across personnel, file storage, AI agents, and data systems in both Microsoft and Google environments.

AgentPulse's capabilities arrive at a time when organisations are tracking pay-per-use costs and addressing unintentional data sharing. The platform also aims to support compliance with data security standards through sensitive data loss prevention features.

As AI adoption expands across enterprises, AgentPulse seeks to provide clarity, aiming to ensure AI agents operate within governance frameworks, optimised for efficiency and transparency, while minimising hidden costs.

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