We detected 1,580 customers using Varonis and 461 companies that churned or ended their trial. The most common industry is Financial Services (11%) and the most common company size is 1,001-5,000 employees (34%). Our methodology involves discovering URLs with known URL patterns through web crawling, certificate transparency logs, or modifications to subprocessor lists.
About Varonis
Varonis provides an automated data security platform that continuously discovers and classifies sensitive data, removes exposures, and stops threats in real time. The solution uses AI-powered automation to detect cyber threats from internal and external actors by analyzing data access, user behavior, and account activity across cloud, SaaS, and hybrid environments.
📊 Who in an organization decides to buy or use Varonis?
Source: Analysis of 100 job postings that mention Varonis
Job titles that mention Varonis
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Based on an analysis of job titles from postings that mention Varonis.
Job Title
Share
Director, Information Security
14%
Information Security Engineer
13%
Director, Data Security
10%
Director, IT Infrastructure
8%
I noticed that Varonis buyers are predominantly senior security and IT leaders, with Directors of Information Security (14%) and Data Security (10%) leading purchasing decisions, followed by IT Infrastructure Directors (8%). These leaders are focused on strategic priorities like data protection, access governance, compliance (HIPAA, ISO 27001, NIST), and reducing data exposure risk across cloud and on-premises environments. They're building comprehensive data security programs that span identity management, privileged access, and regulatory compliance.
The day-to-day users are Information Security Engineers (13%) and Security Engineers (8%) who operate Varonis to monitor data access, detect anomalies, enforce governance policies, and conduct audits. These practitioners configure Varonis components, manage alerts, investigate incidents, remediate data exposure, and integrate the platform with Active Directory, SailPoint, Azure, and other identity systems. They're running vulnerability assessments, managing permissions, and automating access requests across structured and unstructured data.
The pain points reveal organizations struggling with data exposure and governance at scale. Companies want to "reduce data exposure risk across M365 collaboration and unstructured data stores" and achieve "visibility, analytics, and control across SaaS, cloud, and structured data environments." They need to "monitor data access, detect anomalies, and enforce data governance policies regardless of data storage location." The recurring theme is moving from reactive security to proactive posture management, automating what was previously manual, and protecting sensitive data throughout its lifecycle across increasingly complex hybrid environments.
🔧 What other technologies do Varonis customers also use?
Source: Analysis of tech stacks from 1,580 companies that use Varonis
Commonly Paired Technologies
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Shows how much more likely Varonis customers are to use each tool compared to the general population. For example, 287x means customers are 287 times more likely to use that tool.
I noticed that Varonis users are highly mature, enterprise-scale companies with sophisticated security and compliance requirements. The presence of tools like Navex One, Proofpoint Security Training, and Rubrik tells me these organizations take governance, risk management, and data protection incredibly seriously. This is the profile of large companies operating in regulated industries or handling sensitive data where a breach or compliance failure carries massive consequences.
The pairing of Varonis with Rubrik makes perfect sense because both address data protection but from different angles. Rubrik handles backup and disaster recovery while Varonis monitors who accesses what data in real-time. Together, they create a comprehensive data security posture. The correlation with Proofpoint Security Training is equally revealing. Companies investing in employee security awareness alongside technical data protection tools like Varonis understand that human behavior is as important as technical controls. The Servicenow connection suggests these companies run formal IT service management processes with ticketing systems and structured workflows, not ad-hoc firefighting.
The full stack reveals companies at a mature growth stage with complex operational needs. The Workday pairing, especially Workday Recruiting, indicates organizations large enough to need enterprise-grade HR and talent management systems. These aren't startups or mid-market companies using point solutions. They're enterprises with hundreds or thousands of employees, multiple departments, and structured processes. They're likely sales-led or partnership-led organizations given the enterprise nature of their tools, requiring formal procurement processes and lengthy sales cycles.
👥 What types of companies is most likely to use Varonis?
Source: Analysis of Linkedin bios of 1,580 companies that use Varonis
Company Characteristics
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Shows how much more likely Varonis customers are to have each trait compared to all companies. For example, 2.0x means customers are twice as likely to have that characteristic.
Trait
Likelihood
Industry: Banking
17.2x
Company Size: 1,001-5,000
16.2x
Company Size: 10,001+
13.3x
Company Size: 5,001-10,000
10.0x
Industry: Government Administration
8.5x
Industry: Insurance
8.5x
I analyzed these Varonis customers, and what strikes me immediately is the sheer operational complexity these organizations manage. These aren't simple businesses. I'm looking at companies running massive physical operations: hospital systems serving millions of patients, banks with billions in assets, construction firms deploying thousands of workers across regions, government agencies managing entire counties, and manufacturers operating global supply chains. They're building aircraft components, managing power grids, running university systems, operating casino resorts, and distributing automotive parts across continents.
These are decidedly mature enterprises. The employee counts tell the story: I'm seeing organizations with 500 to 5,000+ employees, many operating for decades (some over a century). Multiple companies mention being publicly traded, having Post IPO funding rounds, or managing multi-billion dollar asset bases. They operate across dozens of locations, serve millions of customers, and describe extensive infrastructure investments. This isn't the startup world.
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