AvePoint launches Kinetic Classification to scale AI governance
AvePoint launches Kinetic Classification to replace static data labeling with continuous, lifecycle-aware sensitivity evaluation across Microsoft 365, Google Workspace, and other apps. The release coincides with new Rapid Recovery features, including intelligent recommendations and Express Recovery for Entra ID, to prioritize critical data restoration. The move addresses findings that 72% of highly confident organizations still faced AI-related unauthorized access incidents.

*this image is generated using AI for illustrative purposes only.
AvePoint (NASDAQ: AVPT, SGX: AVP) announced Kinetic Classification on Aug. 04, 2026, a new capability designed to continuously evaluate data sensitivity across its full lifecycle to help enterprises scale artificial intelligence without increasing risk. The launch addresses a critical gap in current security postures, replacing static, point-in-time controls with dynamic classification that adapts as data evolves across Microsoft 365, Google Workspace, and other business applications. This shift allows security teams to maintain a continuous view of risk rather than discovering sensitive data exposure only after an AI agent has accessed it.
The announcement comes amid growing concerns over AI-related security breaches despite high confidence levels among security leaders. According to AvePoint’s third annual State of AI Report, 82.7% of organizations reported being "very" or "extremely" confident in preventing unauthorized data access. However, 72% of the "very confident" group still experienced an AI-related unauthorized access incident in the past 12 months. John Peluso, Chief Technology Officer at AvePoint, stated that these capabilities extend the company’s foundation into the AI era, enabling organizations to classify, govern, and recover their AI estate with confidence through what the company terms the "Trust Layer for AI."
Kinetic Classification combines AI-driven and automated classification for both sensitivity and retention, continuously refining labels as new signals emerge, access policies change, and agents interact with content. This approach responds to industry guidance from Gartner, which notes that governance must move beyond static policies toward continuous, embedded, and enforceable controls as AI ecosystems expand. By unifying sensitivity intelligence across multiple platforms, security teams can avoid stitching together fragmented tools and instead make informed governance decisions from a single foundation.
Alongside Kinetic Classification, AvePoint introduced new intelligence in its Rapid Recovery System to help teams restore critical data first during incidents. The updates include intelligent recommendations to pinpoint essential data, a Rapid Recovery Wizard for pre-building sequenced recovery plans, and Express Recovery for Entra ID to add identity layer protection. These features work in tandem with Kinetic Classification, which identifies where critical data lives, allowing Rapid Recovery to prioritize what returns first.
Product Capabilities and Platform Integration
Kinetic Classification extends visibility across a broad ecosystem of business applications beyond traditional office suites. The unified sensitivity intelligence covers the following platforms:
| Category | Supported Applications |
|---|---|
| Core Productivity | Microsoft 365, Google Workspace |
| Collaboration & DevOps | GitHub, Bitbucket, Jira, Confluence |
| IT Service & Workflow | ServiceNow, Smartsheet, Monday.com |
| Identity & Storage | Okta, AWS S3 |
| Document Management | Box, DocuSign |
Market Context and Strategic Positioning
The disconnect between perceived security confidence and actual breach rates highlights the limitations of static labeling in modern enterprise environments. As sensitive data no longer resides in single platforms, the ability to continuously interpret sensitivity, ownership, lifecycle, and risk becomes foundational for AI governance. John Hodges, Chief Product Officer at AvePoint, emphasized that organizations are struggling with readiness—knowing what data is sensitive and whether it should be used by AI—rather than ambition. Kinetic Classification aims to provide a living foundation for this work, ensuring that classification adapts as data evolves. AvePoint will demonstrate these capabilities at Black Hat 2026, booth 3761.
How might the widespread adoption of dynamic, AI-driven data classification impact the competitive landscape for traditional static DLP vendors?
What are the potential implications for AvePoint's revenue model as it shifts from selling point-in-time security tools to continuous, subscription-based governance services?
Could the integration of Kinetic Classification with major platforms like Microsoft 365 and Google Workspace lead to tighter vendor lock-in for enterprise customers?


























