Companies DNSFilter

DNSFilter

Tampa, Florida, USA

Total Offices: 2

160 Total Employees

55 Product + Tech Employees

Year Founded: 2015

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DNSFilter Company Stability & Growth

Updated on October 14, 2025

This page summarizes recurring themes identified from responses generated by popular LLMs to common candidate questions about DNSFilter and has not been reviewed or approved by DNSFilter.

What's the stability & growth outlook for DNSFilter?

Strengths in revenue momentum, product innovation, and channel partnerships are accompanied by a smaller overall market position and a customer mix concentrated in SMB/MSP segments. Together, these dynamics suggest resilient, innovation-led growth in its protective DNS niche while scale and penetration in broader platform-led markets remain developing.

Positive Themes About DNSFilter

Strong Revenue Growth: Company announcements indicate sustained multi-year revenue increases with ongoing momentum into 2025. The pattern suggests durable topline expansion rather than a one-off spike.
Strategic Partnerships: Channel expansion added substantial numbers of MSP and reseller partners and materially increased partner-sourced ARR and sales. These partnerships broaden go-to-market reach and underpin continued growth.
Innovation-Driven Growth: Ongoing AI-led threat intelligence, frequent product updates, and acquisitions (Zorus, Guardian, Web Shrinker) have expanded capabilities and differentiation. This product velocity is presented as a driver of adoption and scale.

Considerations About DNSFilter

Weak Market Position & Pricing Challenges: In the broader threat detection and prevention market, overall share remains small relative to large incumbents. The data also notes that broader SSE/SWG leadership lists typically feature larger platforms rather than this vendor.
Concentrated Customer Base: The customer mix is weighted toward SMBs and MSPs, with less prominence in large-enterprise and federal segments. This tilt may limit penetration where consolidated SSE platforms are preferred.

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The insights on this page are generated by submitting structured prompts to some of the most popular large language models (“LLMs”) and summarizing recurring themes from the responses. Because the insights are generated using AI, they may contain errors. The insights do not necessarily reflect internal data, employee interviews, or verified company information. They may be influenced by incomplete, outdated, or inaccurate data, and may vary across LLM providers. These insights are intended for informational purposes only and should not be interpreted as a factual or definitive assessment of a company's reputation. Built In makes no representations or warranties regarding the accuracy, completeness, or reliability of this information, and disclaims any liability for any actions taken based on this information. If you are a representative of this company, and would like this page to be removed, you may contact us via this form.