Fuzzbuzz, a recent graduate from Y Combinator received $2.7 million in funding. Fuzzbuzz’s $2.7 million will go towards developing a niche automation software known as fuzzing which is to be hosted on the Cloud.
The investors are –
- Fuel Capital
- Homebrew and Susa Ventures
- Docker co-founder Solomon Hykes
- Mesosphere co-founder Florian Leibert
- Looker co-founder Ben Porterfield
The bottom three are angel investors.
Fuzzbuzz’s specialty lies in automating fuzzing at scale. Andrei Serban, Co-founder & CEO, Fuzzbuzz said, “It’s a type of automated software testing that can perform thousands of tests per second,” he explained. Fuzzbuzz is also taking advantage of artificial intelligence and machine learning underpinnings to use feedback from the results to generate new tests automatically so that it should get smarter as it goes along.”
The main aim here is to cover as much code and find as many bugs as possible, faster and more efficiently than human software testers. This is something every software company would like to do, however, so far, the process has been costly and requires highly upskilled security engineers to get the job done. Highly valued organizations such as Facebook and Google can have this arrangement, however, this is out of reach when it comes to SMBs developing Information Technology solutions.
Fuzzbuzz’s co-founder Everest Munro-Zeisberger has worked on fuzzing at scale and was able to detect 15,000 bugs using this method. He wanted to deploy this capability for every tech firm out there.
“Today, anyone can start fuzzing on Fuzzbuzz in less than 20 minutes. We hook directly into GitHub and your CI/CD pipeline, categorize and de-duplicate each bug found, and then notify you through tools like Slack and Jira. Using the Fuzzbuzz CLI, developers can then test and fix the bug locally before pushing their code back up to GitHub,” the company wrote in a blog post announcing the funding.
In its early stages, the start-up is currently working with some clients. This funding should help Fuzzbuzz’s founders build a proper engineering team and develop a more fulfilling solution for their market. The project is risky, but upon its success, however upon its success, a plethora of IT firms will be able to generate cleaner code within no time and inexpensively.