Companies that use Wiz

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

My analysis shows that Directors of Information Security dominate at 21%, followed by Information Security Engineers at 16%, SOC Analysts at 7%, and DevOps Directors at 4%. The remaining 52% spans diverse security leadership and engineering roles. Buyers are primarily senior security leaders focused on cloud security architecture, vulnerability management, and compliance. These organizations are hiring to build comprehensive cloud security programs that span AWS, Azure, and GCP environments while meeting regulatory requirements like SOC2, PCI-DSS, and FedRAMP.

Day-to-day users include security engineers who configure and optimize Wiz for cloud security posture management, vulnerability scanning specialists who triage findings and coordinate remediation, and SOC analysts who integrate Wiz into their SIEM workflows for threat detection. I see teams using Wiz to identify misconfigurations, assess cloud vulnerabilities, and automate security monitoring across multi-cloud environments. The platform feeds into broader security operations that include incident response, compliance reporting, and continuous security improvement.

The pain points reveal a shift from manual to automated security. Organizations want to move away from ticket-based operations toward self-healing models and AI-powered security. One posting describes building an Agentic AI-powered, self-healing cloud security model, while another seeks to embed security into processes where the default way is the easiest and most secure. Companies are struggling with massive attack surfaces across cloud providers and need unified visibility and automated remediation at scale.

Source: Analysis of Linkedin bios of 2,098 companies that use Wiz

I noticed that Wiz customers span an incredibly diverse range of industries, but they share a common thread: they're building or operating digital platforms, infrastructure, and services that require rock-solid reliability. These aren't just tech companies. I'm seeing financial services institutions processing billions in transactions, manufacturers with complex supply chains, entertainment platforms streaming to millions, energy companies managing critical infrastructure, and healthcare organizations handling sensitive patient data. What they build varies wildly, but they all depend on cloud infrastructure to deliver their core business.

These are predominantly established, mature organizations. The employee counts tell the story: I'm seeing many companies with 500+ employees, several with 1,000+, and quite a few with 10,000+ headcount. While there are some Series A and B startups in the mix, the majority are either post-IPO public companies, private equity backed firms, or long-established enterprises with decades of history. Many explicitly mention their founding dates going back 20, 30, even + years.

Source: Analysis of tech stacks from 2,098 companies that use Wiz

I noticed something striking about companies using Wiz: they're high-growth technology companies with sophisticated engineering cultures and aggressive go-to-market motions. The combination of enterprise-grade security (Wiz), modern development tools (Docker Business, Cursor), and collaboration platforms (Figma, Miro) tells me these are well-funded startups or scale-ups building complex products with distributed teams.

The pairing of Wiz with Docker Business makes immediate sense. Companies containerizing their applications need cloud security that understands modern architectures. Seeing Cursor appear so frequently is fascinating because it's a relatively new AI-powered IDE, which suggests these companies have engineering teams actively adopting cutting-edge development tools. The presence of Highspot, a sales enablement platform, alongside Golinks (internal knowledge sharing) reveals companies investing heavily in both outbound sales operations and internal efficiency simultaneously.

What really stands out is how these companies operate: they're clearly sales-led organizations in rapid scaling mode. Highspot appearing 389 times more often than average indicates substantial sales teams that need sophisticated content management. But they're not sacrificing product velocity for sales growth. The Cursor and Docker adoption shows continued engineering investment. Miro and Figma Organization Plan suggest large product and design teams collaborating across multiple offices or remote setups. These aren't early-stage startups figuring things out, they're Series B through pre-IPO companies with 200-plus employees executing on proven business models.