Newly Launched Terbium Software to Monitor Dark Web for Enterprise
April 11, 2016
Impacting groups like Target to JP Morgan Chase, data breaches are increasingly common and security firms are popping up to address the issue. The article Dark Web data hunter Terbium Labs secures $6.4m in fresh funding from ZDNet reports Terbium Labs received $6.4 million in Series A funding. Terbium Labs released software called Matchlight which provides real-time surveillance of the Dark Web and alerts enterprises when their organization’s data surfaces. Consumer data, sensitive company records, and trade secrets are among the types of data for which enterprises are seeking protection. We learned,
“Earlier this month, cloud security firm Bitglass revealed the results of an experiment focused on how quickly stolen data spreads through the Dark Web. The company found that within days, financial credentials leaked to the underground spread to 30 countries across six continents with thousands of users accessing the information.”
While Terbium appears to offer value for stopping a breach once it’s started, what about preventing such breaches in the first place? Perhaps there are opportunities for partnerships with Terbium and players in the prevention arena. Or, then again, maybe companies will buy piecemeal services from individual vendors.
Megan Feil, April 11, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Third Party Company Profiteering
March 31, 2016
We might think that we keep our personal information from the NSA, but there are third party companies that legally tap ISP providers and phone companies and share the information with government agencies. ZDNet shares the inside story about this legal loophole, “Meet The Shadowy Tech Brokers That Deliver Your Data To The NSA.” These third party companies hide under behind their neutral flag and then reap a profit. You might have heard of some of them: Yaana, Subsentio, and Neustar.
“On a typical day, these trusted third-parties can handle anything from subpoenas to search warrants and court orders, demanding the transfer of a person’s data to law enforcement. They are also cleared to work with classified and highly secretive FISA warrants. A single FISA order can be wide enough to force a company to turn over its entire store of customer data.
Once the information passes through these third party companies it is nearly impossible to figure out how it is used. The third party companies do conduct audits, but it does little to protect the average consumer. Personal information is another commodity to buy, sell, and trade. It deems little respect for the individual consumer. Who is going to stand up for the little guy? Other than Edward Snowden?
Whitney Grace, March 31, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Big Data Gets Emotional
December 15, 2015
Christmas is the biggest shopping time of the year and retailers spending months studying consumer data. They want to understand consumer buying habits, popular trends in clothing, toys, and other products, physical versus online retail, and especially what competition will be doing sale wise to entice more customers to buy more. Smart Data Collective recently wrote about the science of shopping in “Using Big Data To Track And Measure Emotion.”
Customer experience professionals study three things related to customer spending habits: ease, effectiveness, and emotion. Emotion is the biggest player and is the biggest factor to spur customer loyalty. If data specialists could figure out the perfect way to measure emotion, shopping and science would change as we know it.
“While it is impossible to ask customers how do they feel at every stage of their journey, there is a largely untapped source of data that can provide a hefty chunk of that information. Every day, enterprise servers store thousands of minutes of phone calls, during which customers are voicing their opinions, wishes and complaints about the brand, product or service, and sharing their feelings in their purest form.”
The article describes some methods emotional data is fathered: phone recordings, surveys, and with vocal layer speech layers being the biggest. Analytic platforms that measure vocal speech layers that measure relationships between words and phrases to understand the sentiment. The emotions are ranged on a five-point scale, ranging from positive to negative to discover patterns that trigger reactions.
Customer experience input is a data analyst’s dream as well as nightmare based on all of the data constantly coming.
Whitney Grace, December 15, 2015
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
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