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Writer's pictureLaura

Unbotify and Follow[the]Seed

Featured Innovator :: Unbotify

(中文以下)

Like in many industries today, hacking has also become automated through specialized software called bots. Bots steal data, hack online accounts, create fake social media profiles and spread fake news. Bots create big returns for fraudsters.

Set up in May 2015, Unbotify has one mission: detecting hacker bots. Though simply put, the path to bot detection involves much complexity.

Unbotify detects bots by differentiating human behavior from bot behavior while using computers or mobile devices. Or more technically, Unbotify’s detection tool focuses on behavioral biometrics data, which is the one data point that is the most difficult for bots to mimic.

The company states that interactions such as mouse movements, scrolling, touch device interactions and device orientation are collected and sent to Unbotify’s backend, then analyzed by the company’s patent-pending machine learning anomaly detection system. The technology ensures that sophisticated bots are exposed faster and are rendered useless.

The tool has a very low false positive rate for even the most sophisticated fraudulent bots. The company states that implementation is as simple as inserting a tag in a webpage’s code.

Unbotify provides solutions for ad-fraud, protecting online content, protecting login pages, and cleaning up analytics. Target markets include the U.S., Europe and China.

The company has raised $1.5 million in a Seed round from Maverick Ventures Israel in 2015.

Recognition includes:

  1. Winning the CYBERSTORM Startup Competition in 2017, held jointly by YL Ventures, the Blavatnik Interdisciplinary Cyber Research Center (ICRC), the Yuval Ne’eman Workshop for Science, Technology and Security, the Israeli National Cyber Bureau, Prime Minister’s Office, and Tel Aviv University, in collaboration with the Ministry of Foreign Affairs.

  2. Ranking in Fast Company’s 2017 Most Innovative Companies (Israel) alongside Waze, Argus Cyber Security, EarlySense, Freightos, WeissBeerger, Itamar Medical, Neomatix, Colu and Syqe Medical.

像许多行业一样,黑客行为也通过称为機器人的程序软件实现自动化。機器人程序窃取数据和网络账户信息,伪造社交媒体用户资料并传播虚假新闻。此类的欺诈行为通过机器人程序实现了高额的回报。

Unbotify于2015年5月创立,其主要任务就是探测和识别以上描述的黑客機器人程序。看似简单,实则不然。

Unbotify是通过分辨人类与機器人程序在使用计算机或移动设备时行为的差异来识别机器人程序的。从专业层面讲,Unbotify技术建立在完善收集和分析生物性行为数据-一种机器人最难模仿的数据,例如手眼配合,手指动作等相关行为产生的数据。

该类数据会被收集并发送到Unbotify的后端,然后由该公司正在申请专利的机器和系统进行分析。这种技术的优势在于即使是非常复杂的机器人程序也会被迅速的发现,然后消灭。

此种技术的失误率极低,而且操作不会比在网页插入标签更难。

Unbotify为广告欺诈、保护网络储存信息、保护登录界面和清理分析提供了有效解决方案。目标市场包括美国,欧洲和中国。

早在2015年,Unbotify 单从以色列Maverick Ventures融资金额就高达150万美元

近年来荣获奖项包括:

  1. 赢得由YL Ventures,Blavatnik跨学科网络研究中心(红十字委员会),Yuval Ne'eman科学技术与安全研讨会,以色列国家网络局,总理办公室和电话联合举办了2017年的CYBERSTORM启动大赛大奖。参与机构包括阿维夫大学与外交部。

  2. 在Fast Company 2017评选的最具创新力公司中名列前茅,一同上榜的还有 Waze,Argus Cyber Security,EarlySense,Freightos,WeissBeerger,Itamar Medical,Neomatix,Colu和Syqe Medical。

 

Featured Investor :: Follow[the]Seed

Follow[the]Seed is a data-driven global post-seed VC fund, headquartered in Sydney (led by Andrey Shirben) with offices in Silicon Valley (led by Ajoy Mallik), Tel-Aviv (led by Eliav Alaluf) and Beijing (led by Curt Shi).

Mallik says, “Our unique data-driven approach helps us filter through the noise and pick out the winning horses well before they get on the traditional VC’s radar. Follow[the]Seed is filling a significant gap in the investment market, where startups seeking between $500k and $2 million really struggle to find investors. At that stage in their growth, in many cases, they are too large for most angel investors, and too early for Series A investment.”

The fund has made seven investments from September 2016 to May 2017, starting with $600k in Australian Class Cover. In February 2017 Follow[the]Seed opened a $100m global fund catering to the market of Israeli and US based startups seeking to raise between $0.5 and $2m.

Over the next five years Follow[the]Seed plans to make between 100-120 investments totalling $200 million across each of its four global funds, and will focus on innovative consumer technology ventures and enterprise solutions, applying its proprietary data-driven algorithm RavingFans® and RPS to its investment decision processes.

The firm’s data driven approach uses a proprietary algorithm to assess the potential of consumer internet ventures at a very early stage by identifying habit-forming products and services, such as (but not limited to) gaming, messaging, and e-commerces, creating “irrational” patterns of behavior leading to obsessive, compulsive or addictive use.

Mallik says, “Our global reach will provide investors with unique access to diversified quality deal flow from the Silicon Valley, Israel, China and Australia and will make it possible for the ventures to expand to the US and Asia (especially China) and benefit from each of the partner’s unique expertise, wealth of experience and networks.”

 

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