Featured

SIXGILL: Dark Web Intelligence with Sharp Teeth

“Sixgill” refers to the breathing apparatus of a shark. Deep. Silent. Stealthy. SIXGILL offers software and services which function like “your eyes in the Dark Web.”

Based in Netanya, just north of Tel Aviv, SIXGILL offers services for its cyber intelligence platform for the Dark Web. What sets the firm apart is its understanding of social networks and their mechanisms for operation.*

The company’s primary product is called “Dark-i.” The firm’s Web site states that the firm’s system can:

  • Track and discover communication nodes across darknets with the capability to trace malicious activity back to their original sources
  • Track criminal activity throughout the cyber crime lifecycle
  • Operate in a covert manner including the ability to pinpoint and track illegal hideouts
  • Support clients with automated and intelligence methods.

The Dark-i system is impressive. In a walk through of the firm’s capabilities, I noted these specific features of the Dark-i system:

  • Easy-to-understand reports, including summaries of alleged bad actors behaviors with time stamp data
  • Automated “profiles” of Dark Web malicious actors
  • The social networks of the alleged bad actors
  • The behavior patterns in accessing the Dark Web and the Dark Web sites the individuals visit.
  • Access to the information on Dark Web forums.

Details about the innovations the company uses are very difficult to obtain. Based on open source information, a typical interface for SIXGILL looks like this:

Related image

Based on my reading of the information in the screenshot, it appears that this SIXGILL display provides the following information:

  • The results of a query
  • Items in the result set on a time line
  • One-click filtering based on categories taken from the the sources and from tags generated by the system, threat actors, and Dark Web sources
  • A list of forum posts with the “creator” identified along with the source site and the date of the post.

Compared with reports about Dark Web activity from other vendors providing Dark Web analytic, monitoring, and search services, the Dark Web Notebook team pegs s SIXGILL in the top tier of services.

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Interviews

Bitext: Exclusive Interview with Antonio Valderrabanos

On a recent trip to Madrid, Spain, I was able to arrange an interview with Dr. Antonio Valderrabanos, the founder and CEO of Bitext. The company has its primary research and development group in Las Rosas, the high-technology complex a short distance from central Madrid. The company has an office in San Francisco and a number of computational linguists and computer scientists in other locations. Dr. Valderrabanos worked at IBM in an adjacent field before moving to Novell and then making the jump to his own start up. The hard work required to invent a fundamentally new way to make sense of human utterance is now beginning to pay off.

Antonio Valderrabanos of Bitext

Dr. Antonio Valderrabanos, founder and CEO of Bitext. Bitext’s business is growing rapidly. The company’s breakthroughs in deep linguistic analysis solves many difficult problems in text analysis.

Founded in 2008, the firm specializes in deep linguistic analysis. The systems and methods invented and refined by Bitext improve the accuracy of a wide range of content processing and text analytics systems. What’s remarkable about the Bitext breakthroughs is that the company support more than 40 different languages, and its platform can support additional languages with sharp reductions in the time, cost, and effort required by old-school systems. With the proliferation of intelligent software, Bitext, in my opinion, puts the digital brains in overdrive. Bitext’s platform improves the accuracy of many smart software applications, ranging from customer support to business intelligence.

In our wide ranging discussion, Dr. Valderrabanos made a number of insightful comments. Let me highlight three and urge you to read the full text of the interview at this link. (Note: this interview is part of the Search Wizards Speak series.)

Linguistics as an Operating System

One of Dr. Valderrabanos’ most startling observations addresses the future of operating systems for increasingly intelligence software and applications. He said:

Linguistic applications will form a new type of operating system. If we are correct in our thought that language understanding creates a new type of platform, it follows that innovators will build more new things on this foundation. That means that there is no endpoint, just more opportunities to realize new products and services.

Better Understanding Has Arrived

Some of the smart software I have tested is unable to understand what seems to be very basic instructions. The problem, in my opinion, is context. Most smart software struggles to figure out the knowledge cloud which embraces certain data. Dr. Valderrabanos observed:

Search is one thing. Understanding what human utterances mean is another. Bitext’s proprietary technology delivers understanding. Bitext has created an easy to scale and multilingual Deep Linguistic Analysis or DLA platform. Our technology reduces costs and increases user satisfaction in voice applications or customer service applications. I see it as a major breakthrough in the state of the art.

If he is right, the Bitext DLA platform may be one of the next big things in technology. The reason? As smart software becomes more widely adopted, the need to make sense of data and text in different languages becomes increasingly important. Bitext may be the digital differential that makes the smart applications run the way users expect them to.

Snap In Bitext DLA

Advanced technology like Bitext’s often comes with a hidden cost. The advanced system works well in a demonstration or a controlled environment. When that system has to be integrated into “as is” systems from other vendors or from a custom development project, difficulties can pile up. Dr. Valderrabanos asserted:

Bitext DLA provides parsing data for text enrichment for a wide range of languages, for informal and formal text and for different verticals to improve the accuracy of deep learning engines and reduce training times and data needs. Bitext works in this way with many other organizations’ systems.

When I asked him about integration, he said:

No problems. We snap in.

I am interested in Bitext’s technical methods. In the last year, he has signed deals with companies like Audi, Renault, a large mobile handset manufacturer, and an online information retrieval company.

When I thanked him for his time, he was quite polite. But he did say, “I have to get back to my desk. We have received several requests for proposals.”

Las Rosas looked quite a bit like Silicon Valley when I left the Bitext headquarters. Despite the thousands of miles separating Madrid from the US, interest in Bitext’s deep linguistic analysis is surging. Silicon Valley has its charms, and now it has a Bitext US office for what may be the fastest growing computational linguistics and text analysis system in the world. Worth watching this company I think.

For more about Bitext, navigate to the firm’s Web site at www.bitext.com.

Stephen E Arnold, April 11, 2017

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