Varonis vs.

End-to-end data security with emphasis on automated outcomes: find, fix, alert.

DSPM with emphasis on discovery, classification, and posture.

Up and running in minutes. Agentless, API-based cloud scanning or lightweight connector to preserve data privacy and sovereignty. Connect at the account level and Varonis finds your data stores on its own.

API-based SaaS connection that transfers customer data to Cyera's cloud for scanning by default. Outpost scanning is a separate, heavier deployment.

Scans in place by default. Only metadata leaves your environment.

Raw data is scanned in Cyera's cloud by default.

AI classification discovers novel data types and topics unique to your business with precision classifiers for known patterns. No regex rules to write.

AI classification of common and novel data types. Uses AI for everything, even where it's costly to do so. Lacks precision classifiers.

Every classification result is verifiable. File analyze feature shows exactly what was found in each object and why it was classified. Scan coverage and health dashboards show what's been scanned.

Black box. No way to validate a specific classification result or see scan coverage. Fixes happen on Cyera's back end by their engineering team.

Continuous, incremental scanning. Changes are picked up in seconds to minutes.

Refreshes about every 24 hours. Manual rescans take about 7 days. Daily refresh can miss permission changes.

Broad and deep coverage across cloud, SaaS, email, databases, and on-premises data. Connectors are proven across 8,000 customers, many with exabytes of data.

Limited on-premises and SaaS application support. Unproven at scale. Struggles to connect to on-prem data sources due to poor architecture choices.

Full effective permissions across nested groups, inheritance, direct grants, and sharing links. Blast radius and attack path analysis.

Read-only API view that collapses Microsoft 365 permissions into a few basic roles. Misses nested groups, direct grants, and inheritance. Limited permissions mapping for non-M365 data sources.

Native, automated remediation at scale. Revoke excessive access, remove stale and org-wide access, quarantine data, with rollback.

A few built-in fixes for sharing links. Most remediation relies on tickets, end users, or third-party tools.

1M+ sensitivity labels a day, with no daily cap.

Relies on Microsoft Purview auto-labeling, capped at 100,000 files per tenant per day.

Behavior-based detection for insider threats, compromised identities, ransomware, and data exfiltration, with automated response.

No behavior-based detection or automated response. Can't detect ransomware, insider threats, or exfiltration in progress.

Full forensic timeline of who accessed what, when, how, and from where. 180 days by default, up to 10 years. Auditing for hundreds of data sources.

Limited event auditing. 7 days by default; longer retention costs extra. Can only get audit events where the target data sources have an audit API. Limited to M365, Google, and a handful of others.

24x7x365 MDDR: threat detection, investigation, and incident response, with a 30-minute ransomware SLA.

DataWatcher: managed DSPM that helps fix posture issues. No detection and response, no incident response, and no SLA.

DAM included: query-level auditing, behavior-based alerts, and inline blocking.

Not covered.

Atlas: 8 modules covering AI discovery, posture, runtime guardrails, monitoring, and governance.

AI Guardian: browser extension and basic AI discovery and posture.

FedRAMP® "Moderate" authorized.

FedRAMP in process.