Netacea - bot detection and mitigation made easy.

by Startacus Admin

Netacea is a Manchester-based startup that's on a mission to protect businesses from the most sophisticated bot attacks.

When Russia recently blocked Twitter, there were numerous reports of the number of trolls and right-wing echo chamber accounts on people’s timelines decreasing drastically. How many of those seemingly real, yet oddly near-identical accounts aren’t real people at all, but bots?

Brace yourself and scroll through the comments of any popular YouTuber’s videos and you will see account after account posting identical comments that somehow remain in place for an alarmingly long time before YouTube does anything about them. Again, bots. These bots are annoying and potentially dangerous in their spreading of misinformation and the like, but they are perhaps the most innocuous of the types of bots out there and the things they can do. From scalping, to web attacks bringing down your website, to theft, an estimated 10-40% of web traffic is actually bots, ever-evolving, and anything from an annoyance to a danger.

Manchester-based startup Netacea is dedicated to bot detection and mitigation, using machine learning to adapt to the bots’ ever-evolving nature and see through their attempts to appear human.

Netacea’s platform works on the server side, without any need for code to be added to web pages. The technology runs with minimal oversight, protecting against all kinds of theft and fraud, attacks and skewed marketing analytics, and is itself constantly learning and evolving, just like the threats it is protecting against. Netacea says that it has a less than 0.001% rate of false positives in identifying and categorising bots.

In February, Netacea announced that they had raised $12 million in a Series A round participated in by Mercia Asset Management and cybersecurity experts from the likes of Crowdstrike, Malwarebytes, and Capsule8. This isn’t surprising when you look at some of the big names they have worked with since their founding in 2018, including Sony, Malwarebytes, and William Hill. And their case studies have some impressive numbers to back up their claims and show why these names number among their clients, such as saving $21,567,780 per year in fraud and $697,248 per year in card verification charges.

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• #netacea
• #bot mitigation
• #bot detection
• #machine learning
• #cybersecurity

Published on: 21st March 2022