Companies that use CyberHaven

Analyzed and validated by Henley Wing Chiu
All data security CyberHaven

CyberHaven We detected 288 companies using CyberHaven, 62 companies that churned, and 26 customers with upcoming renewal in the next 3 months. The most common industry is Software Development (18%) and the most common company size is 1,001-5,000 employees (28%). We find new customers by discovering URLs with known URL patterns through web crawling or modifications to subprocessor lists.

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Company Employees Industry Region YoY Headcount Growth Usage Start Date
Whitley Penn 501–1,000 Accounting US N/A 2026-04-05
Target 10,001+ Retail US N/A 2026-03-31
Toss Securities 201–500 Financial Services KR N/A 2026-03-30
Mitsubishi Electric Power Products, Inc. 1,001–5,000 Appliances, Electrical, and Electronics Manufacturing US N/A 2026-03-28
Rackspace Technology 5,001–10,000 IT Services and IT Consulting US N/A 2026-03-26
Madrigal Pharmaceuticals 501–1,000 Pharmaceutical Manufacturing US N/A 2026-03-25
Hologic, Inc. 5,001–10,000 Medical Equipment Manufacturing US N/A 2026-03-25
Turquoise 201–500 Software Development US N/A 2026-03-23
Nylas 201–500 Software Development US N/A 2026-03-12
Covera Health 51–200 Technology, Information and Internet US N/A 2026-03-06
StockX 1,001–5,000 Internet Marketplace Platforms US N/A 2026-03-04
Anduril Industries 1,001–5,000 Defense and Space Manufacturing US N/A 2026-02-28
Hy-Tech Drilling Ltd. 501–1,000 Mining CA N/A 2026-02-26
Garner Health 201–500 Software Development N/A N/A 2026-02-25
Cybereason, A LevelBlue Company 1,001–5,000 Computer and Network Security US N/A 2026-02-25
Showing 1-20

Market Insights

🏢 Top Industries

Software Development 50 (18%)
Financial Services 49 (17%)
IT Services and IT Consulting 13 (5%)
Law Practice 13 (5%)
Venture Capital and Private Equity Principals 11 (4%)

📏 Company Size Distribution

1,001-5,000 employees 80 (28%)
51-200 employees 57 (20%)
201-500 employees 55 (20%)
501-1,000 employees 50 (18%)
10,001+ employees 16 (6%)

📊 Who usually uses CyberHaven and for what use cases?

Source: Analysis of job postings that mention CyberHaven (using the Bloomberry Jobs API)

Job titles that mention CyberHaven
i
Job Title
Share
Security Operations Center (SOC) Analyst
19%
Information Security Engineer
13%
Data Protection Engineer/Manager
13%
Director, Information Security
6%
I noticed that CyberHaven purchases are driven by Information Security leadership, with 6% of roles being Director-level security positions responsible for strategic security programs. These buyers are prioritizing data protection and insider risk management, hiring for teams focused on data classification, governance, and threat detection. The hiring patterns suggest organizations are building out comprehensive data security programs that span endpoints, cloud environments, and SaaS platforms.

The day-to-day users are primarily security engineers and analysts (32% combined), along with specialized data protection roles (13%). These practitioners are using CyberHaven for data behavior analytics, insider threat detection, and monitoring data movement across the enterprise. I found roles specifically responsible for managing CyberHaven alongside complementary tools like Microsoft Purview, Varonis, and Cyera, indicating it fits into broader data security toolchains for visibility and control.

The core pain point is achieving comprehensive data visibility and protection across hybrid environments. Organizations seek to "identify and mitigate data risk" and ensure "the classification, confidentiality, privacy, security, retention and defensible disposition of records and information." Multiple postings emphasize the need for "data behavior analytics and insider threat detection" capabilities. Companies are addressing regulatory compliance requirements like HIPAA, PCI, and CCPA while managing the complexity of protecting sensitive data across on-premises, cloud, and endpoint environments.

👥 What types of companies use CyberHaven?

Source: Analysis of Linkedin bios of 288 companies that use CyberHaven

Company Characteristics
i
Trait
Likelihood
Funding Stage: Post IPO equity
180.0x
Funding Stage: Post IPO debt
145.2x
Funding Stage: Debt financing
81.2x
Company Size: 5,001-10,000
34.6x
Company Size: 1,001-5,000
32.3x
Company Size: 10,001+
26.6x
I analyzed these CyberHaven customers and found they span an incredibly diverse range of businesses. What unites them isn't a single industry, but rather the nature of their work: these companies handle sensitive, high-value information daily. I see financial services firms managing billions in transactions, technology companies building software platforms, healthcare organizations managing patient data, law firms handling confidential legal matters, and biotechnology companies working on proprietary research. They're not just moving money or data around. They're the actual infrastructure of modern commerce and innovation.

These are predominantly mature, established enterprises. I see many publicly traded companies, firms with over 1,000 employees, and businesses managing billions in assets or serving millions of customers. The funding stages include Post-IPO, private equity, and later-stage venture rounds. Even the smaller companies by headcount often describe themselves as industry leaders with significant customer bases or transaction volumes. These aren't early experiments. They're proven businesses at scale.

🔧 What other technologies do CyberHaven customers also use?

Source: Analysis of tech stacks from 288 companies that use CyberHaven

Commonly Paired Technologies
i
Technology
Likelihood
4082.9x
2661.1x
2193.7x
2086.8x
986.7x
716.7x
I noticed that CyberHaven customers are modern, security-conscious B2B companies in growth mode, likely Series B through pre-IPO stage. The combination of enterprise knowledge management (Glean), sales enablement (Highspot), cloud security (Lacework), and workflow automation (Tines) tells me these are well-funded companies building sophisticated operations while managing the security challenges that come with rapid scaling.

The pairing with Glean is particularly revealing. Companies need advanced data loss prevention like CyberHaven precisely when they're using AI-powered search tools that index sensitive internal documents. They want employees to find information quickly, but they also need to track where that data goes. Similarly, the correlation with Tines makes perfect sense. These companies are automating security workflows and incident response, which pairs naturally with CyberHaven's data tracking capabilities. You can automatically trigger responses when sensitive data moves somewhere it shouldn't.

The presence of Highspot and ZipHQ points to companies with mature, growing sales organizations. They're investing in tools to make their revenue teams more effective, which means they likely have significant contract values and sophisticated enterprise sales motions. Meanwhile, Lacework suggests they're cloud-native companies serious about their security posture, probably serving other enterprises who scrutinize their vendors carefully.

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