Companies that use CyberHaven

Source: Analysis of 100 job postings that mention CyberHaven

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.

Source: Analysis of tech stacks from 234 companies that use CyberHaven

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.

Source: Analysis of Linkedin bios of 234 companies that use CyberHaven

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.