Category: Cybersecurity

Survey Results: What Matters to Web Data Collection Buyers

Posted on June 28, 2018 by

While structured web data presents exciting possibilities in many fields of endeavor – including finance, cyber-security, artificial intelligence and more – the market for data extraction platforms is still fairly young. Only a handful of companies are providing online data at scale, and unlike other technologies which are covered extensively by analysts and professional publications,

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Posted in API, Cybersecurity, Data Extraction, Fintech | Leave a comment

3 Predictions for Web Data in 2018

Posted on December 12, 2017 by

2017 was a turbulent year: With Donald Trump shaking up the American political system, cryptocurrencies causing riptides throughout financial markets, and advancements in artificial intelligence sparking both anticipation and anxiety in the scientific world, the passing year seems to have been dominated by a sense of uncertainty and a sea change waiting to happen at

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Posted in Cybersecurity, Data Extraction | Leave a comment

Crawling the Dark Web to Detect the Next Market

Posted on July 25, 2017 by

Over the past few days, the internet has been abuzz with talk of the recent blows dealt by law enforcement to two major dark web “marketplaces”, AlphaBay and Hansa market; and the subsequent suicide of Alexander Cazes – the Canadian programmer-turned-criminal mastermind behind AlphaBay, who ended his own life in a Thai prison while awaiting

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Posted in Cybersecurity, News | Leave a comment

How web data saves lives, identifies threats, and brings criminals to justice

Posted on February 16, 2017 by

The Webhose.io team will remember February 13th 2017 primarily because of the opportunity to present at i-HLS Big Data alongside Fortune 500 leaders including IBM, SAP, and Dell. Over 500 participants convened to learn how homeland security and law enforcement agencies are using big data to serve and protect. Of particular interest was the role

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Posted in Big Data, Cybersecurity | Leave a comment