AvePoint has introduced a series of new AI governance and resilience capabilities to its Confidence Platform, as organisations and managed service providers (MSPs) grapple with the growing complexity of deploying AI at scale.
The updates come as governance emerges as a key barrier to AI adoption. According to AvePoint, 51% of MSPs cite governance as one of the biggest challenges in delivering AI services, highlighting a gap between ambition and operational readiness in the fast-growing AI market.
Standardising AI governance
AvePoint’s latest enhancements are designed to shift AI governance away from bespoke, one-off projects towards a more standardised and scalable model. New features include centralised management and pre-defined governance controls, enabling partners to deliver more consistent services while reducing operational overhead.
Chris Shaw, Channel Director at AvePoint, said organisations are under increasing pressure to take a more structured approach to AI risk.
“Organisations need a comprehensive approach to managing the risks associated with AI,” he said. “By extending our Confidence Platform, we’re giving partners and customers access to tools that address governance challenges more directly.”
The move reflects a broader trend in the AI market, where governance is becoming a critical enabler of adoption rather than a secondary consideration.
Focus on resilience and continuity
Alongside governance, AvePoint is placing greater emphasis on resilience, particularly in complex, multi-cloud environments.
A central element of the update is the introduction of what the company calls the “Minimum Viable Company” (MVC) model. The approach focuses on restoring critical business functions first during an incident, rather than attempting full system recovery from the outset.
This is supported by a new Rapid Recovery System, designed to accelerate the restoration of key Microsoft 365 workloads, including identities and core infrastructure. The aim is to reduce downtime and maintain essential operations during disruptions such as cyber incidents or system failures.
John Peluso, Chief Technology Officer at AvePoint, said the shift reflects the changing nature of risk in AI-driven environments.
“As AI adoption grows, so does the complexity of the risk landscape,” he said. “Our MVC approach is about helping organisations prioritise what matters most and recover critical capabilities quickly.”
Expanding beyond Microsoft ecosystems
AvePoint is also extending its backup and protection capabilities beyond Microsoft 365, adding support for platforms including Azure databases, Bitbucket, Okta and Atlassian tools. The expansion is intended to help MSPs deliver more comprehensive, cross-platform services as customer environments become increasingly fragmented.
In parallel, the platform now includes enhanced governance controls for AI agents, offering greater visibility into how AI systems access and interact with sensitive data. This is expected to support organisations in meeting evolving compliance and security requirements.
From project to service model
The latest updates signal AvePoint’s broader strategy to reposition AI governance as an ongoing, standardised service rather than a complex, resource-intensive project.
This shift is particularly relevant for MSPs looking to scale AI offerings in a market expected to reach hundreds of billions of dollars, but still constrained by operational and governance challenges.
By combining governance, resilience and multi-platform support, AvePoint is aiming to simplify how partners deliver AI services, while addressing the underlying risks that continue to slow adoption.
The company is hosting webinars on April 30 and May 7 to outline the new capabilities and its approach to AI governance and resilience. Further details and registration information are available on the AvePoint website.
