How Distil Networks uses machine learning to hunt down 'bad bots'

August 8, 2016

Distil Networks recently raised $21 million to bolster its anti-bot offerings for the enterprise. The company plans to expand globally and grow its workforce.

Over the past few years, bots have started taking over parts of the tech world, with good bots like web crawlers indexing your site to boost your traffic and chat bots helping with more efficient communication in the office. Unfortunately, malicious bots are also on the rise, exposing vulnerabilities and stealing information.

In fact, 2014 was the first year that bots were purported to have outnumbered actual people online. With the exponential rise of bad bots, that's a real problem. Distil Networks, a company that provides bot detection and mitigation services, recently raised $21 million in a Series C financing round to boost its efforts against bad bots.

For those unfamiliar, a bot is simply a piece of software that runs automated scripts online. Distil Networks uses machine learning algorithms to defend against the malicious behavior that can come from bots, such as web scraping, fraud, security breaches, spam, and downtime.

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Distil Networks, the bot mitigation company, raises $21 million
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