AvePoint Launches Kinetic Classification for Dynamic Sensitivity So Enterprises Can Scale AI Without Scaling Risk
Rhea-AI Summary
AvePoint (Nasdaq: AVPT; SGX: AVP) launched Kinetic Classification, a new capability within its Trust Layer for AI that continuously evaluates data sensitivity across its lifecycle, replacing static, point-in-time labeling. It works across Microsoft 365, Google Workspace, and business apps such as GitHub, ServiceNow, Jira, Box, Okta, Smartsheet, Monday.com, DocuSign, Bitbucket, and AWS S3.
AvePoint also added new intelligence to its Rapid Recovery system, including intelligent restoration recommendations, the Rapid Recovery Wizard, and Express Recovery for Entra ID, to help organizations prioritize and sequence restoration of critical data and identities after incidents, supporting scalable and governed AI adoption.
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Key Figures
Previous AI Reports
| Date | Event | Sentiment | 24h Move | Catalyst |
|---|---|---|---|---|
| Jul 21 | AI platform expansion | Positive | -1.7% | Expanded agent governance, multicloud protection, and recovery capabilities across the Confidence Platform. |
| Jun 29 | AI research release | Positive | +1.6% | Published research on AI governance gaps, incidents, and planned enterprise investment. |
| Apr 28 | AI platform expansion | Positive | +1.1% | Added Rapid Recovery, agent governance, infrastructure backup, and Bitbucket protection capabilities. |
| Apr 09 | AI adoption research | Negative | -6.7% | Research identified governance and compliance as the leading MSP AI adoption barrier. |
| Mar 09 | AI product availability | Positive | -0.6% | Announced general availability of multicloud governance and observability for autonomous AI agents. |
24h Move is the share-price change in the day after each event; other market factors may also have contributed.
Tag-specific AI announcements produced mixed reactions, with three divergences and two alignments.
Key Terms
multicloud technical
AI-generated analysis. How Rhea-AI works. Not financial advice.
Kinetic Classification and Rapid Recovery bring continuous visibility and priority-based restoration to AvePoint's Trust Layer for AI
- Continuous, lifecycle-aware classification and priority-based recovery replace static, point-in-time controls, giving security teams a continuous view of risk across their AI estate
- Kinetic Classification continuously re-evaluates data sensitivity across Microsoft 365, Google Workspace, and a growing ecosystem of business applications, replacing one-time labeling with classification that adapts as data evolves
- New intelligence in AvePoint’s Rapid Recovery System—including intelligent recommendations, the Rapid Recovery Wizard, and Express Recovery for Entra ID—helps teams restore their most critical data first when an incident occurs
LAS VEGAS, Aug. 04, 2026 (GLOBE NEWSWIRE) -- AvePoint (Nasdaq: AVPT; SGX: AVP), the unifying Trust Layer for AI, today announced Kinetic Classification, a new capability that continuously evaluates data sensitivity across its full lifecycle, which means security teams will no longer discover that a file was sensitive only after an AI agent has accessed it. This replaces static, point-in-time labeling that cannot keep pace with modern AI environments. Building on the agent governance and multicloud protection AvePoint expanded across the Confidence Platform earlier this summer, the company also introduced new intelligence in Rapid Recovery that helps security teams restore their most critical data first when an incident occurs.
“These capabilities are great examples of how we enable AI trust within organizations all around the world,” said John Peluso, Chief Technology Officer, AvePoint. “For 25 years, AvePoint has been the trusted layer beneath the world’s most demanding data estates. Kinetic Classification and Rapid Recovery extend that foundation into the AI era, so organizations can classify, govern, and recover their AI estate with confidence. It’s an important piece of what we call the Trust Layer for AI: a connected layer of governance, security, recovery, and backup controls that sits across an organization’s data, creating the foundation for AI success.”
Confidence in AI Security Is High, but Breaches Reveal Classification Gap
Security leaders are more confident than ever, yet the data tells a different story. In AvePoint's third annual State of AI Report,
According to Gartner, as AI ecosystems expand across data, models, and business processes, governance must move beyond static policies toward continuous, embedded, and enforceable controls. This is the same shift driving demand for classification that adapts continuously.
Static Labeling Breaks Down as Enterprise Data Changes
“The next wave of AI governance starts with the data itself,” said John Hodges, Chief Product Officer, AvePoint. “Our 2026 State of AI Report makes clear that organizations aren’t struggling with ambition; they’re struggling with readiness: knowing what data is sensitive, who owns it, how it changes, and whether it should be used by AI in the first place. Kinetic Classification gives enterprises a living foundation for that work, continuously interpreting sensitivity, ownership, lifecycle, and risk so organizations can govern the data their AI is already using.”
Kinetic Classification combines AI-driven and automated classification and labeling across both sensitivity and retention, then continuously refines that classification over time as new signals emerge, access policies change, agents interact with content, and labels expire. Kinetic Classification makes it possible for security teams to gain a more current view of sensitive data across the business, with classification that adapts as data evolves.
Because sensitive data no longer lives in a single platform, AvePoint's evolving classification capabilities extend visibility across Microsoft 365, Google Workspace, and a growing ecosystem of business applications, including GitHub, ServiceNow, Jira, Confluence, Box, Okta, Smartsheet, Monday.com, DocuSign, Bitbucket, and AWS S3. By unifying sensitivity intelligence across these environments, security teams get one sensitivity picture instead of stitching together different fragmented tools, and organizations can make more informed governance and security decisions from a single, consistent foundation.
When a Breach Hits, Knowing What to Restore First Is Critical
Effective recovery depends on rapidly restoring the correct data in the proper order. New intelligence in AvePoint's Rapid Recovery is designed to deliver that at enterprise scale, including:
- Intelligent recommendations, which pinpoint the most critical data to restore first, and help teams bring back the “minimum viable company,” even when the starting point is unclear.
- The Rapid Recovery Wizard, which makes it possible for teams to pre-build and sequence recovery plans, so a restore runs smoothly and quickly under pressure.
- Express Recovery for Entra ID, which adds the identity layer to the recovery story, building on the Entra External ID protection AvePoint announced in July.
One Operating Model for Classification and Recovery
These new capabilities work hand in hand: Kinetic Classification continuously identifies where critical, sensitive data lives, which allows Rapid Recovery to prioritize what returns first.
Now when an incident occurs, organizations no longer have days of manual triage, and instead are equipped with a pre-built, sequenced recovery that a team can execute under pressure. That foundation underpins AvePoint's unified Trust Layer for AI, allowing organizations to scale innovation without scaling risk. For more information and to see the Confidence Platform in action, visit AvePoint at Black Hat 2026 at booth 3761, or explore the Rapid Recovery and Kinetic Classification pages.
About AvePoint
AvePoint is the unifying Trust Layer for AI. AvePoint enables more than 28,000 organizations and 6,000 channel partners to protect, secure, and govern their entire AI estate across data, infrastructure, AI and agents for Microsoft, Google, Salesforce, and other leading cloud environments — so that enterprises can deploy AI with confidence and scale innovation without scaling risk. To learn more, visit www.avepoint.com.
Forward-Looking Statements
This press release contains certain forward-looking statements within the meaning of the “safe harbor” provisions of the United States Private Securities Litigation Reform Act of 1995 and other federal securities laws including statements regarding the future performance of and market opportunities for AvePoint. These forward-looking statements generally are identified by the words “believe,” “project,” “expect,” “anticipate,” “estimate,” “intend,” “strategy,” “future,” “opportunity,” “plan,” “may,” “should,” “will,” “would,” “will be,” “will continue,” “will likely result,” and similar expressions. Forward-looking statements are predictions, projections and other statements about future events that are based on current expectations and assumptions and, as a result, are subject to risks and uncertainties. Many factors could cause actual future events to differ materially from the forward-looking statements in this press release, including but not limited to: changes in the competitive and regulated industries in which AvePoint operates, variations in operating performance across competitors, changes in laws and regulations affecting AvePoint’s business and changes in AvePoint’s ability to implement business plans, forecasts, and ability to identify and realize additional opportunities, and the risk of downturns in the market and the technology industry. You should carefully consider the foregoing factors and the other risks and uncertainties described in the “Risk Factors” section of AvePoint’s most recent Annual Report on Form 10-K. Copies of this and other documents filed by AvePoint from time to time are available on the SEC's website, www.sec.gov. These filings identify and address other important risks and uncertainties that could cause actual events and results to differ materially from those contained in the forward-looking statements. Forward-looking statements speak only as of the date they are made. Readers are cautioned not to put undue reliance on forward-looking statements, and AvePoint does not assume any obligation and does not intend to update or revise these forward-looking statements after the date of this release, whether as a result of new information, future events, or otherwise, except as required by law. AvePoint does not give any assurance that it will achieve its expectations. Unless the context otherwise indicates, references in this press release to the terms “AvePoint,” “the Company,” “we,” “our” and “us” refer to AvePoint, Inc. and its subsidiaries.
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