Billions in vc Funding Continues Rinse and Repeat Process
May 12, 2016
In the tech world, the word billion may be losing meaning for some. Pando published a recent editorial called, While the rest of tech struggles, so far VCs have raised more this quarter than in past three years. This piece calls attention to the seemingly never-ending list of VC firms raising ever-more funds. For example, Accel announced their funds were at $2 billion, Founders Fund raised $1 billion in new funds, and Andreessen Horowitz currently works to achieve another $1.5 billion. The author writes,
“It was hard to put that [recent fundraising rounds] in context. I mean, yeah. These are major funds. Is it news that they raised a collective $4.5 billion more at some point? Doesn’t mean they’ll invest it any more quickly. All it means is that the two will still be around for another ten years, which we kinda already guessed. It’s staggeringly hard for a venture fund to actually go out of business, even when it wasn’t some of the first money in Facebook or, in the case of Marc Andreessen, sits on its board. [Disclosure: Marc Andreessen, Founders Fund and Accel are all investors in Pando.]”
As the author wonders, asking Pitchbook if it’s a “bigger quarter than usual”, our eyebrows are not raised by this this thought, nor easy money, bubbles, unicorns. Nah, this is just routine in Sillycon Valley.
Megan Feil, May 12, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Tumblr Tumbles, Marking yet Another Poor Investment Decision by Yahoo
April 14, 2016
The article on VentureBeat titled As Tumblr’s Value Head to Zero, a Look at Where It Ranks Among Yahoo’s 5 Worst Acquisition Deals pokes fun at Yahoo’s tendency to spend huge amounts of cash for companies only to watch them immediately fizzle. In the number one slot is Broadcast.com. Remember that? Me neither. But apparently Yahoo doled out almost $6B in 1999 to wade into the online content streaming game only to shut the company down after a few years. And thusly, we have Mark Cuban. Thanks Yahoo. The article goes on with the ranking,
“2. GeoCities: Yahoo paid $3.6 billion for this dandy that let people who knew nothing about the Web make web pages. Fortunately, this was also mostly shut down, and nearly all of its content vanished, saving most of us from a lot GIF-induced embarrassment. 3. Overture: Yahoo paid $1.63 billion in 2003 for this search engine firm after belatedly realizing that some upstart called Google was eating its lunch. Spoiler alert: Google won.”
The article suggests that Tumblr would slide into fourth place given the $1.1B price tag and two year crash and burn. It also capitulates that there are other ways of measuring this list, such as: levels of hard to watch. By that metric, cheaper deals with more obvious mismanagement like the social sites Flickr or Delicious might take the cake.
Chelsea Kerwin, April 14, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Nasdaq Joins the Party for Investing in Intelligence
April 6, 2016
The financial sector is hungry for intelligence to help curb abuses in capital markets, judging by recent actions of Goldman Sachs and Credit Suisse. Nasdaq invests in ‘cognitive’ technology, from BA wire, announces their investment in Digital Reasoning. Nasdaq plans to connect Digital Reasoning algorithms with Nasdaq’s technology which surveils trade data. The article explains the benefits of joining these two products,
“The two companies want to pair Digital Reasoning software of unstructured data such as voicemail, email, chats and social media, with Nasdaq’s Smarts business, which is one of the foremost software for monitoring trading on global markets. It is used by more than 40 markets and 12 regulators. Combining the two products is designed to assess the context, content and relationships behind trading and spot signals that could indicate insider trading, market manipulation or even expenses rules violations.”
We have followed Digital Reasoning, and other intel vendors like them, for quite some time as they target sectors ranging from healthcare to law to military. This is just a case of another software intelligence vendor making the shift to the financial sector. Following the money appears to be the name of the game.
Megan Feil, April 6, 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
Slack Hires Noah Weiss
March 29, 2016
One thing you can always count on the tech industry is talent will jump from company to company to pursue the best and most innovating endeavors. The latest tech work to jump ship is Eric Weiss, he leaps from Foursquare to head a new Search, Learning, & Intelligence Group at Slack. VentureBeat reports the story in “Slack Forms Search, Learning, & Intelligence Group On ‘Mining The Chat Corpus.’” Slack is a team communication app and their new Search, Learning, & Intelligence Group will be located in the app’s new New York office.
Weiss commented on the endeavor:
“ ‘The focus is on building features that make Slack better the bigger a company is and the more it uses Slack,” Weiss wrote today in a Medium post. “The success of the group will be measured in how much more productive, informed, and collaborative Slack users get — whether a company has 10, 100, or 10,000 people.’”
For the new group, Weiss wants to hire experts who are talented in the fields of artificial intelligence, information retrieval, and natural language processing. From this talent search, he might be working on a project that will help users to find specific information in Slack or perhaps they will work on mining the chap corpus.
Other tech companies have done the same. Snapchat built a research team that uses artificial intelligence to analyze user content. Flipboard and Pinterest are working on new image recognition technology. Meanwhile Google, Facebook, Baidu, and Microsoft are working on their own artificial intelligence projects.
What will artificial intelligence develop into as more companies work on their secret projects.
Whitney Grace, March 29, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Social Media Still a Crime Hub
March 14, 2016
It seems that most crime is concentrated on the hidden Dark Web, especially with news of identity thief and potential threats to national security making the news over the latest social media hotspot. Social media is still a hot bed for Internet crime and Motherboard has a little tale tell about, “SocioSpyder: The Tool Bought By The FBI To Monitor Social Media.” Social media remains a popular crime hub, because of the amount of the general public that use it making them susceptible to everything from terroristic propaganda to the latest scam to steal credit card numbers.
Law enforcement officials are well aware of how criminals use social media, but the biggest problem is having to sift through the large data stockpile from the various social media platforms. While some law enforcement officials might enjoy watching the latest cute kitten video, it is not a conducive use of their time. The FBI purchased SocioSpyder as their big data tool.
“ ‘SocioSpyder,’ as the product is called, ‘can be configured to collect posts, tweets, videos and chats on-demand or autonomously into a relational, searchable and graphable database,” according to the product’s website. SocioSpyder is made by Allied Associates International, a US-based contractor for government and military clients as well as other private companies, and which sells, amongst other things, software.
This particular piece of kit, which is only sold to law enforcement or intelligence agencies, allows an analyst to not only keep tabs on many different targets across various social networks at once, but also easily download all of the data and store it. In short, it’s pretty much a pre-configured web scraper for social media.”
SocioSpyder maps relationships within the data and understand how the user-generated content adds up to the bigger picture. Reportedly, the FBI spent $78,000 on the SocioSpyder software and the US Marshals bought a lesser version worth $22,500. SocioSpyder is being used to gather incriminating evidence against criminals and avoid potential crimes.
My biggest question: where can we get a version of SocioSpyder to generate reports for personal use?
Whitney Grace, March 14, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
How-To Overview of Building a Data Platform to Handle Real-Time Datasets
March 11, 2016
The article on Insight Data Engineering titled Building a Streaming Search Platform offers a glimpse into the Fellows Program wherein grad students and software engineers alike build data platforms and learn cutting-edge open source technologies. The article delves into the components of the platform, which enables close to real-time search of a streaming text data source, with Twitter as an example. It also explores the usefulness of such a platform,
On average, Twitter users worldwide generate about 6,000 tweets per second. Obviously, there is much interest in extracting real-time signal from this rich but noisy stream of data. More generally, there are many open and interesting problems in using high-velocity streaming text sources to track real-time events. … Such a platform can have many applications far beyond monitoring Twitter…All code for the platform I describe here can be found on my github repository Straw.”
Ryan Walker, a Casetext Data Engineer, describes how these products might deliver major results in the hands of a skilled developer. He uses the example of a speech to text monitor being able to transcribe radio or TV feeds and send the transcriptions to the platform. The platform would then seek key phrases and even be set up to respond with real-time event management. There are many industries that will find this capability very intriguing due to their dependence on real-time information processing, including finance and marketing.
Chelsea Kerwin, March 11, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Facebook Exploits Dark Web to Avoid Local Censorship
March 9, 2016
The article on Nextgov titled Facebook Is Giving Users a New Way to Access It On the ‘Dark Web’ discusses the lesser-known services of the dark web such as user privacy. Facebook began taking advantage of the dark web in 2014, when it created a Tor address (recognizable through the .onion ending.) The article explains the perks of this for global Facebook users,
“Facebook’s Tor site is one way for people to access their accounts when the regular Facebook site is blocked by governments—such as when Bangladesh cut off access to Facebook, its Messenger and Whatsapp chat platforms, and messaging app Viber for about three weeks in November 2015. As the ban took effect, the overall number of Tor users in Bangladesh spiked by about 10 times, to more than 20,000 a day. When the ban was lifted, the number dropped..”
Facebook has encountered its fair share of hostility from international governments, particularly Russia. Russia has a long history of censorship, and has even clocked Wikipedia in the past, among other sites. But even if a site is not blocked, governments can still prevent full access through filtering of domain names and even specific keywords. The Tor option can certainly help global users access their Facebook accounts, but however else they use Tor is not publicly known, and Facebook’s lips are sealed.
Chelsea Kerwin, March 9, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Natural Language Processing App Gains Increased Vector Precision
March 1, 2016
For us, concepts have meaning in relationship to other concepts, but it’s easy for computers to define concepts in terms of usage statistics. The post Sense2vec with spaCy and Gensim from SpaCy’s blog offers a well-written outline explaining how natural language processing works highlighting their new Sense2vec app. This application is an upgraded version of word2vec which works with more context-sensitive word vectors. The article describes how this Sense2vec works more precisely,
“The idea behind sense2vec is super simple. If the problem is that duck as in waterfowl andduck as in crouch are different concepts, the straight-forward solution is to just have two entries, duckN and duckV. We’ve wanted to try this for some time. So when Trask et al (2015) published a nice set of experiments showing that the idea worked well, we were easy to convince.
We follow Trask et al in adding part-of-speech tags and named entity labels to the tokens. Additionally, we merge named entities and base noun phrases into single tokens, so that they receive a single vector.”
Curious about the meta definition of natural language processing from SpaCy, we queried natural language processing using Sense2vec. Its neural network is based on every word on Reddit posted in 2015. While it is a feat for NLP to learn from a dataset on one platform, such as Reddit, what about processing that scours multiple data sources?
Megan Feil, March 1, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
New Tor Communication Software for Journalists and Sources Launches
February 29, 2016
A new one-to-one messaging tool for journalists has launched after two years in development. The article Ricochet uses power of the dark web to help journalists, sources dodge metadata laws from The Age describes this new darknet-based software. The unique feature of this software, Ricochet, in comparison to others used by journalists such as Wickr, is that it does not use a server but rather Tor. Advocates acknowledge the risk of this Dark Web software being used for criminal activity but assert the aim is to provide sources and whistleblowers an anonymous channel to securely release information to journalists without exposure. The article explains,
“Dr Dreyfus said that the benefits of making the software available would outweigh any risks that it could be used for malicious purposes such as cloaking criminal and terrorist operations. “You have to accept that there are tools, which on balance are a much greater good to society even though there’s a tiny possibility they could be used for something less good,” she said. Mr Gray argued that Ricochet was designed for one-to-one communications that would be less appealing to criminal and terrorist organisers that need many-to-many communications to carry out attacks and operations. Regardless, he said, the criminals and terrorists had so many encryption and anonymising technologies available to them that pointing fingers at any one of them was futile.”
Online anonymity is showing increasing demand as evidenced through the recent launch of several new Tor-based softwares like Ricochet, in addition to Wickr and consumer-oriented apps like Snapchat. The Dark Web’s user base appears to be growing and diversifying. Will public perception follow suit?
Megan Feil, February 29, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
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