California-based web application security firm Signal Sciences on Tuesday announced that it raised $35 million in a Series C funding round, which brings the total raised by the company to more than $61 million.
The latest funding round was led by Lead Edge Capital, with participation from existing investors CRV, Index Ventures, Harrison Metal and OATV. Signal Sciences plans on using the newly obtained funds to accelerate market expansion and product innovation.
Founded in 2014, Signal Sciences provides next-generation web application firewall (WAF) and runtime application self-protection (RASP) technologies designed to protect business-critical applications, APIs and microservices.
Signal Sciences solutions are designed for development, operations and security teams. The company says 95 percent of customers use its platform in fully automated blocking mode, which means there is no need to hire someone full-time for running the system.
Signal Sciences says its customers include many major brands, including Adobe, Etsy, Vimeo, WeWork, One Medical and several cybersecurity solutions providers. It claims its products help protect over 10,000 applications, with its platform deployed across more than 40 hybrid and multi-cloud environments.
“They told us the WAF market was destined to remain insignificant—no technology innovations had been made in a decade. They said there was no way a new company could overtake the legacy leaders because of how entrenched they were. Besides, they said, no one cared about protecting their apps in the first place,” said Andrew Peterson, founder and CEO of Signal Sciences. “We knew they were wrong, and we’ve hit yet another milestone to prove it.”
Related: Web Isolation Firm Garrison Technologies Raises $30 Million
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Eduard Kovacs (@EduardKovacs) is a contributing editor at SecurityWeek. He worked as a high school IT teacher for two years before starting a career in journalism as Softpedia’s security news reporter. Eduard holds a bachelor’s degree in industrial informatics and a master’s degree in computer techniques applied in electrical engineering.
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