Voice of the Customer for Data Security Posture Management

30 June 2026 - ID G00853959 - 3 min read
By Peer Community Contributor
Addressing data security debt reduces risks, but many organizations have not cataloged their unstructured data and are uncertain about its security and posture management. This note guides cybersecurity leaders to learn from ratings and reviews shared by their peers on Gartner Peer Insights.

Peer Insights Voice of the Customer

Gartner Peer Insights Voice of the Customer evaluates vendors in a given technology market by applying a specific methodology to aggregated end-user reviews. Vendors are then positioned into four quadrants based on two criteria: User Interest and Adoption (x-axis), and Overall Experience (y-axis) (see Figure 1). See the Methodology section for details.
Along with the historical peer-based perspective represented in this document, Gartner has a related expert-led Market Guide for Data Security Posture Management.
Figure 1. Voice of the Customer for Data Security Posture Management
Source: Gartner (June 2026)
All vendors are classified under specific quadrants based on their “overall experience,” and “user interest and adoption.” The Customers’ Choice quadrant in the upper right represents the highest overall experience, and maximum user interest and adoption. Strong Performer is in the upper left. Aspiring is in the lower left. Established is in the lower right. Eligible vendors as of [March 2026] — Customers’ Choice vendors: Concentric AI, Varonis; Strong Performer vendors: Arexdata, BigID, Sentra; Aspiring vendors: Palo Alto Networks, Symmetry Systems, TrustLogix; and Established vendors: AvePoint, Cyera.

Reviewers’ Willingness to Recommend

Gartner Peer Insights reviewers rate their willingness to recommend each vendor. Figure 2 compares vendors according to the reviewers’ willingness to recommend them.
Figure 2. Voice of the Customer for Data Security Posture Management, Willingness to Recommend
Source: Gartner (June 2026)
Eligible vendors compared based on their “overall reviews” and reviewers’ “willingness to recommend.”

Vendors’ End-User Rating Summaries

Figures 3 through 12 summarize key information for each vendor included in the “Voice of the Customer”:
  • Overall Rating and rating distribution
  • Other ratings covering specific aspects of the experience with the vendor
Figure 3. Voice of the Customer for Data Security Posture Management, Arexdata Vendor Summary
Source: Gartner (June 2026)
This graphic provides a snapshot of the vendor's rating details, including average rating, number of reviews, reviewer willingness to recommend, a rating histogram, and a breakdown of reviewers' company sizes, industries and geographic regions.
Read all Peer Insights user reviews for Arexdata.
Figure 4. Voice of the Customer for Data Security Posture Management, AvePoint Vendor Summary
Source: Gartner (June 2026)
This graphic provides a snapshot of the vendor's rating details, including average rating, number of reviews, reviewer willingness to recommend, a rating histogram, and a breakdown of reviewers' company sizes, industries and geographic regions.
Read all Peer Insights user reviews for AvePoint.
Figure 5. Voice of the Customer for Data Security Posture Management, BigID Vendor Summary
Source: Gartner (June 2026)
This graphic provides a snapshot of the vendor's rating details, including average rating, number of reviews, reviewer willingness to recommend, a rating histogram, and a breakdown of reviewers' company sizes, industries and geographic regions.
Read all Peer Insights user reviews for BigID.
Figure 6. Voice of the Customer for Data Security Posture Management, Concentric AI Vendor Summary
Source: Gartner (June 2026)
This graphic provides a snapshot of the vendor's rating details, including average rating, number of reviews, reviewer willingness to recommend, a rating histogram, and a breakdown of reviewers' company sizes, industries and geographic regions.
Read all Peer Insights user reviews for Concentric AI.
Figure 7. Voice of the Customer for Data Security Posture Management, Cyera Vendor Summary
Source: Gartner (June 2026)
This graphic provides a snapshot of the vendor's rating details, including average rating, number of reviews, reviewer willingness to recommend, a rating histogram, and a breakdown of reviewers' company sizes, industries and geographic regions.
Read all Peer Insights user reviews for Cyera.
Figure 8. Voice of the Customer for Data Security Posture Management, Palo Alto Networks Vendor Summary
Source: Gartner (June 2026)
This graphic provides a snapshot of the vendor's rating details, including average rating, number of reviews, reviewer willingness to recommend, a rating histogram, and a breakdown of reviewers' company sizes, industries and geographic regions.
Read all Peer Insights user reviews for Palo Alto Networks.
Figure 9. Voice of the Customer for Data Security Posture Management, Sentra Vendor Summary
Source: Gartner (June 2026)
This graphic provides a snapshot of the vendor's rating details, including average rating, number of reviews, reviewer willingness to recommend, a rating histogram, and a breakdown of reviewers' company sizes, industries and geographic regions.
Read all Peer Insights user reviews for Sentra.
Figure 10. Voice of the Customer for Data Security Posture Management, Symmetry Systems Vendor Summary
Source: Gartner (June 2026)
This graphic provides a snapshot of the vendor's rating details, including average rating, number of reviews, reviewer willingness to recommend, a rating histogram, and a breakdown of reviewers' company sizes, industries and geographic regions.
Read all Peer Insights user reviews for Symmetry Systems.
Figure 11. Voice of the Customer for Data Security Posture Management, TrustLogix Vendor Summary
Source: Gartner (June 2026)
This graphic provides a snapshot of the vendor's rating details, including average rating, number of reviews, reviewer willingness to recommend, a rating histogram, and a breakdown of reviewers' company sizes, industries and geographic regions.
Read all Peer Insights user reviews for TrustLogix.
Figure 12. Voice of the Customer for Data Security Posture Management, Varonis Vendor Summary
Source: Gartner (June 2026)
This graphic provides a snapshot of the vendor's rating details, including average rating, number of reviews, reviewer willingness to recommend, a rating histogram, and a breakdown of reviewers' company sizes, industries and geographic regions.
Read all Peer Insights user reviews for Varonis.

Market Definition

Data security posture management (DSPM) discovers previously unknown data across on-premises data centers and cloud service providers (CSPs). It also helps categorize and classify previously unknown and discovered unstructured and structured data. As data rapidly proliferates, DSPM assesses who has access to it to determine its security posture and exposure to privacy, security and AI-usage-related risks. DSPM is delivered as software or as a service.

Methodology

A full description of the methodology can be found on the Gartner Peer Insights Voice of the Customer Methodology page.
Voice of the Customer includes vendors with products aligned to the market that have 20 or more eligible published reviews (and 15 or more ratings for “Capabilities” and “Support/Delivery”) during the 18-month consideration period ending 31 March 2026. Reviews from vendor partners or companies with less than $50 million in revenue are excluded.
In the data security posture management market, Gartner Peer Insights published 1,410 reviews and ratings during the consideration period.
The data used in this report is drawn from reviews on Peer Insights, a free peer review and ratings platform that regularly publishes new reviews. The Voice of the Customer methodology uses a snapshot of reviews data from a defined time frame and does not automatically update as new reviews are published. The external Peer Insights site will always have the most updated peer view of the vendors and products in this report.
The numerical ratings scores in each vendor summary graphic (shown as “Rating by Category”) are best interpreted as sample statistics with a reasonable margin for error and not as exact values.