Companies that use Detectify

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

I noticed that 100% of the roles mentioning Detectify are individual contributor positions, with Information Security Engineers making up 60% of the roles, followed by DevOps Engineers at 13% and SOC Analysts at 7%. This suggests that Detectify is primarily purchased by security leadership (Directors or Heads of Security) who are building out vulnerability management capabilities, but the day-to-day users are the security engineers and DevOps teams they hire. The strategic priorities across these organizations center on vulnerability scanning, cloud security, and integrating security into development workflows.

The hands-on practitioners using Detectify are conducting regular vulnerability assessments across cloud infrastructure and applications. One posting explicitly states the role will "conduct regular vulnerability scanning using tools like Wiz, Detectify, and Vulcan," while another mentions using "Static Application Security Testing" and "Dynamic Application Security Testing" tools including Detectify. These engineers are responsible for identifying, triaging, and remediating security vulnerabilities, often working cross-functionally with development and DevOps teams to drive fixes.

The core pain point I identified is the need to scale security programs while maintaining speed. Multiple postings emphasize "building a frictionless security program," "embedding security into the fabric of development," and helping teams "deliver business value fast, in a consistent, reliable, and secure manner." Companies want security tools that integrate into existing DevOps workflows without slowing down development velocity, which explains why Detectify appears alongside CI/CD tools in these technical stacks.

Source: Analysis of Linkedin bios of 3,422 companies that use Detectify

I noticed that Detectify's customers are predominantly technology-forward companies that operate digital platforms, software services, or online marketplaces. These aren't just tech companies in name. They're building SaaS products, running e-commerce operations, managing online publishing platforms, providing cloud services, or operating digital payment systems. Many describe themselves as providers of "comprehensive solutions," "cutting-edge technology," or "innovative platforms" that handle sensitive user data, transactions, or business-critical operations.

The maturity level varies significantly, but I see a pattern. Many are growth-stage companies with 50-500 employees who have achieved product-market fit and now face scaling challenges. Some show funding rounds (Series A, Series B, seed stage), while others are bootstrapped but established players like idealista with "1,305 employees" or Extenda Retail operating across "37+ countries." Even smaller operations often support large user bases. Boosteroid serves "millions of users" with just 75 employees. This suggests companies punching above their weight class digitally.

Source: Analysis of tech stacks from 3,422 companies that use Detectify

I noticed that Detectify users are predominantly fast-growing tech companies with modern, cloud-native infrastructures and sophisticated marketing operations. The combination of developer tools like Docker Hub alongside marketing platforms like HubSpot and LinkedIn Ads tells me these are B2B SaaS companies that need to balance rapid product development with aggressive customer acquisition. They're building complex web applications that require serious security monitoring, which makes sense given Detectify's focus on continuous security testing.

The pairing of Atlassian StatusPage with Detectify is particularly revealing. Companies investing in public status pages care deeply about transparency and maintaining customer trust, which aligns perfectly with proactive security monitoring. Similarly, the strong correlation with Amplitude suggests these companies are obsessively tracking user behavior and product metrics. They're not just building features randomly but making data-driven decisions about their product roadmap. The AWS Route 53 correlation confirms they're running production infrastructure at scale, likely serving thousands of customers who depend on their uptime and security.

My analysis shows these are primarily product-led growth companies in the growth stage, probably Series A through D. They have the resources to invest in premium marketing tools and the technical sophistication to run containerized deployments, but they still need efficient, automated solutions rather than large security teams. The heavy presence of marketing automation and paid advertising tools suggests they're actively acquiring customers through digital channels while their product team ships code rapidly.