AvePoint launches new command centres to boost cloud resilience
AvePoint has announced a set of updates to the AvePoint Confidence Platform, including the introduction of new command centres and expanded security capabilities for agentic AI deployments.
The recent enhancements to the platform consist of the launch of the Optimization and ROI Command Center as well as the Resilience Command Center. These additions are designed to provide organisations with centralised oversight to drive cost savings, manage data resilience, and support governance as more enterprises adopt multi-cloud strategies and artificial intelligence technologies.
Drive for operational efficiency
A key feature of the new command centres is their aim to help organisations manage operational pressures more effectively. The Optimization and ROI Command Center offers a consolidated view intended to uncover cost-saving opportunities throughout the data landscape, including integrated license management, information lifecycle management, and strategies to consolidate and optimise cloud storage.
According to the company, research shows that 92% of organisations are planning to implement cost reduction measures by decommissioning unnecessary infrastructure, reviewing vendor agreements, and leveraging automation. The platform's new command centre aims to address these goals directly by providing actionable insights in a single interface.
John Hodges, Chief Product Officer at AvePoint, said: "These updates represent our holistic approach to the challenges defining the modern data landscape. Whether organisations are looking to optimise costs, scale AI safely, or govern data across multiple clouds, the AvePoint Confidence Platform provides the unified intelligence and control they need to transform operational pressure into strategic advantage."
Data resilience in a multi-cloud world
The Resilience Command Center is focused on supporting organisations as they adopt increasingly complex, multi-cloud environments. With 89% of enterprises using multi-cloud strategies to limit vendor lock-in and improve operational resilience, AvePoint's new feature is intended to give comprehensive oversight into data resilience across these diverse setups.
This command centre provides monitoring and insights for Microsoft 365 services, including tracking storage consumption, overseeing backups, and making recommendations for cost and protection optimisations. The tool's capabilities are set to expand to cover additional platforms such as Salesforce and Google Workspace in 2025.
Enhancing agentic AI security
AvePoint has also introduced expanded AI management within its platform, reflecting the increased adoption of agentic AI across enterprise software. According to Gartner, it is predicted that by 2028, agentic AI will be present in 33% of enterprise applications, compared to less than 1% in 2024. This growth anticipates 15% of day-to-day business decisions to be made autonomously.
Recognising that every AI agent deployment becomes a new endpoint requiring oversight, the platform updates include enhanced governance tools for Microsoft Copilot agents, scalable security deployment across AI rollouts, expanded prompt monitoring, and detailed recommendations for reporting and management.
Hodges remarked that the platform's aim is to unite risk and resilience management, cost optimisation, and governance of artificial intelligence in a single ecosystem. This, the company states, enables organisations to maintain control over increasingly complex data operations.
Strategic direction for the Confidence Platform
The new features are part of AvePoint's intention to provide centralised control and intelligence across data, cloud environments, and AI agents. According to AvePoint, its Confidence Platform is used by more than 25,000 customers globally within Microsoft, Google, and Salesforce collaboration environments, supported by a worldwide network of managed service providers, resellers, and integrators.
The company's expansion of its command centres and AI capabilities is positioned in response to changing data management challenges, driven by the growth of multi-cloud usage and the rapid emergence of agentic AI within enterprise IT environments.
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