Picking and Poking Palantir Technologies: A New Blood Sport?

April 25, 2018

My reaction to “Palantir Has Figured Out How to Make Money by Using Algorithms to Ascribe Guilt to People, Now They’re Looking for New Customers” is a a sign and a groan.

I don’t work for Palantir Technologies, although I have been a consultant to one of its major competitors. I do lecture about next generation information systems at law enforcement and intelligence centric conferences in the US and elsewhere. I also wrote a book called “CyberOSINT: Next Generation Information Access.” That study has spawned a number of “experts” who are recycling some of my views and research. A couple of government agencies have shortened by word “cyberosint” into the “cyint.” In a manner of speaking, I have an information base which can be used to put the actions of companies which offer services similar to those available from Palantir in perspective.

The article in Boing Boing falls into the category of “yikes” analysis. Suddenly, it seems, the idea that cook book mathematical procedures can be used to make sense of a wide range of data. Let me assure you that this is not a new development, and Palantir is definitely not the first of the companies developing applications for law enforcement and intelligence professionals to land customers in financial and law firms.

baseball card part 5

A Palantir bubble gum card shows details about a person of interest and links to underlying data from which the key facts have been selected. Note that this is from an older version of Palantir Gotham. Source: Google Images, 2015

Decades ago, a friend of mine (Ev Brenner, now deceased) was one of the pioneers using technology and cook book math to make sense of oil and gas exploration data. How long ago? Think 50 years.

The focus of “Palantir Has Figured Out…” is that:

Palantir seems to be the kind of company that is always willing to sell magic beans to anyone who puts out an RFP for them. They have promised that with enough surveillance and enough secret, unaccountable parsing of surveillance data, they can find “bad guys” and stop them before they even commit a bad action.

Okay, that sounds good in the context of the article, but Palantir is just one vendor responding to the need for next generation information access tools from many commercial sectors.

Read more

Real Time Translation: Chatbots Emulate Sci Fi

April 16, 2018

The language barrier is still one of the world’s major problems. Translation software, such as Google Translate is accurate, but it still makes mistakes that native speakers are needed to correct. Instantaneous translation is still a pipe dream, but the technology is improving with each new development. Mashable shares a current translation innovation and it belongs to Google: “Google Pixel Buds Vs. Professional Interpreters: Which Is More Accurate?”

Apple angered many devout users when it deleted the headphone jack on phones, instead replacing it with Bluetooth headphones called AirPods. They have the same minimalist sleek design as other Apple products, but Google’s Pixel Buds are far superior to them because of real time translation or so we are led to believe. Author Raymond Wong tested the Pixel Buds translation features at the United Nations to see how they faired against professional translators. He and his team tested French, Arabic, and Russian. The Pixel Buds did well with simple conversations, but certain words and phrases caused errors.

One hilarious example was when Google translated the Arabic for, “I want to eat salad” to “I want to eat power” in English. When it comes to real time translation, the experts are still the best because they can understand the context and other intricacies, such as tone, that comes with human language. The professional translators liked the technology, but it still needs work:

“Ayad and Ivanova both agreed that Pixel Buds and Google Translate are convenient technologies, but there’s still the friction of holding out a Pixel phone for the other person to talk into. And despite the Pixel Buds’ somewhat speedy translations, they both said it doesn’t compare to a professional conference interpreters, who can translate at least five times faster Google’s cloud.”

Keep working on those foreign language majors kids. Marketing noses in front of products that deliver in my view.

Whitney Grace, April 17, 2018

Fake Fighters Flourish: Faux or No?

April 16, 2018

An article at Buyers Meeting Point draws our attention to a selection of emerging tools meant to stem the tsunami of false information online. In “Will New Startup NewsGuard Address Fake News in Internet Research?” editor Kelly Barner cites an article in the Wall Street Journal by NewsGuard creator L. Gordon Crovitz when she describes:

“The premise of the NewsGuard value proposition is interesting – Crovitz detailed the challenges caused by what has become a ‘news supply chain’. In many cases, we don’t get our news directly from the publisher, like we did in the olden days of newspapers. Instead we get news from another platform that is probably not dedicated to news: Google, YouTube, Facebook, Twitter, etc. This obscures our awareness of the actual source and increases the risk of reading and sharing fake news. NewsGuard, set to be released in advance of the Midterm elections this November, will charge platforms – not publishers – to rate the reliability of the news sources running content on their site. ‘Instead of black-box algorithms, NewsGuard will use human beings to rate news brands Green, Yellow or Red depending on whether they are trying to produce real journalism, fail to disclose their interests, or are intentional purveyors of fake news.’ (WSJ, 3/4/2018). The largest investor in NewsGuard is Publicis Groupe, a France-based multi-national advertising and public relations agency. According to the Commentary piece, the ratings will be based on both NewsGuard’s experts and wisdom of the crowd. We are all wise to be concerned about the fake news in our midst. Is this the right solution?”

Good question. There are several competing AI tools designed to root out fake news, and the article lists Factmata, Storyzy, Trive, and Our.News, among others, as examples. (See the piece for more details.) Our primary question, however, remains—do they work?

The post reminds us that nothing can really replace critical thinking skills. As Barner concludes, “readers and researchers bear the ultimate responsibility for the information and sources they cite.” Indeed.

Cynthia Murrell, April 16, 2018

CyberOSINT: Next Generation Information Access Explains the Tech Behind the Facebook, GSR, Cambridge Analytica Matter

April 5, 2018

In 2015, I published CyberOSINT: Next Generation Information Access. This is a quick reminder that the profiles of the vendors who have created software systems and tools for law enforcement and intelligence professionals remains timely.

The 200 page book provides examples, screenshots, and explanations of the tools which are available to analyze social media information. The book is the most comprehensive run down of the open source, commercial, and cloud based systems which can make sense of social media data, lawful intercept data, and general text and imagery content.

Companies described in this collection of “tools” include:

  • Cyveillance (now LookingGlass)
  • Decisive Analytics
  • IBM i2 (Analysts Notebook)
  • Geofeedia
  • Leidos
  • Palantir Gotham
  • and more than a dozen developers of commercial and open source, high impact cyberOSINT tool vendors.

The book is available for $49. Additional information is available on my Xenky.com Web site. You can buy the PDF book online at this link gum.co/cyberosint.

Get the CyberOSINT monograph. It’s the standard reference for practical and effective analysis, text analytics, and next generation solutions.

Stephen E Arnold, April 5, 2018

Insight into the Value of Big Data and Human Conversation

April 5, 2018

Big data and AI have been tackling tons of written material for years. But actual spoken human conversation has been largely overlooked in this world, mostly due to the difficulty of collecting this information. However, that is on the cusp of changing as we discovered from a white paper from the Business and Local Government Resource Center,The SENSEI Project: Making Sense of Human Conversations.”

According to the paper:

“In the SENSEI project we plan to go beyond keyword search and sentence-based analysis of conversations. We adapt lightweight and large coverage linguistic models of semantic and discourse resources to learn a layered model of conversations. SENSEI addresses the issue of multi-dimensional textual, spoken and metadata descriptors in terms of semantic, para-semantic and discourse structures.”

While some people are excited about the potential for advancement this kind of big data research presents, others are a little more nervous; for example, one or two of the 87 million individuals whose Facebook data found its way into the capable hands of GSR and Facebook.

In fact, there is a growing movement, according to the Guardian, to scale back big data intrusion. What makes this interesting is that advocates are demanding companies that harvest our information for big data purposes give some of that money back to the people whom the info originate, not unlike how songwriters are given royalties every time their music is used for film or television. Putting a financial stipulation on big data collection could cause SENSEI to top its brake pedal. Maybe?

Patrick Roland, April 5, 2018

Can Factmata Do What Other Text Analytics Firms Cannot?

April 2, 2018

Consider it a sign of the times—Information Management reveals, “Twitter, Craigslist Co-Founders Back Fact-Check Startup Factmata.” Writer Jeremy Kahn reports:

“Twitter Inc. co-founder Biz Stone and Craigslist Inc. co-founder Craig Newmark are investing in London-based fact-checking startup Factmata, the company said Thursday. … Factmata aims to use artificial intelligence to help social media companies, publishers and advertising networks weed out fake news, propaganda and clickbait. The company says its technology can also help detect online bullying and hate speech.”

Particularly amid concerns about the influence of Russian-backed propaganda in U.S. and the U.K., several tech firms and other organizations have taken aim at false information online. What about Factmata has piqued the interest of leading investors? We’re informed:

“Dhruv Ghulati, Factmata’s chief executive officer, said the startup’s approach to fact-checking differs from other companies. While some companies are looking at a wide range of content, Factmata is initially focused exclusively on news. Many automated fact-checking approaches rely primarily on metadata – the information behind the scenes that describe online news items and other posts. But Factmata is using natural language processing to assess the actual words, including the logic being used, whether assertions are backed up by facts and whether those facts are attributed to reputable sources.”

Ghulati goes on to predict Facebook will be supplanted as users’ number one news source within the next decade. Apparently, we can look forward to the launch of Factmata’s own news service sometime “later this year.”

We will wait. We do want to point out that based on the information available to the Beyond Search and DarkCyber research teams, no vendor has been able to identify text which is weaponized at a high level of accuracy without the assistance of expensive, human, and vacation hungry subject matter experts.

Maybe Factmata will “mata”?

Cynthia Murrell, April 2, 2018

What Happens When Intelligence Centric Companies Serve the Commercial and Political Sectors?

March 18, 2018

Here’s a partial answer:

image

And

image

Plus

image

Years ago, certain types of companies with specific LE and intel capabilities maintained low profiles and, in general, focused on sales to government entities.

How times have changed!

In the DarkCyber video news program for March 27, 2018, I report on the Madison Avenue type marketing campaigns. These will create more opportunities for a Cambridge Analytica “activity.”

Net net: Sometimes discretion is useful.

Stephen E Arnold, March 18, 2018

Searching Video and Audio Files is Now Easier Than Ever

February 7, 2018

While text-based search has been honed to near perfection in recent years, video and audio search still lags. However, a few companies are really beginning to chip away at this problem. One that recently caught our attention was VidDistill, a company that distills YouTube videos into an indexed list.

According to their website:

vidDistill first gets the video and captions from YouTube based off of the URL the user enters. The caption text is annotated with the time in the video the text corresponds to. If manually provided captions are available, vidDistill uses those captions. If manually provided captions are not available, vidDistill tries to fall back on automatically generated captions. If no captioning of any sort is available, then vidDistill will not work.

 

Once vidDistill has the punctuated text, it uses a text summarization algorithm to identify the most important sentences of the entire transcript of the video. The text summarization algorithm compresses the text as much as the user specifies.

It was interesting and did what they claimed, however, we wish you could search for words and have it brought up in the index so users could skip directly to specific parts of a video. This technology has been done in audio, quite well. A service called Happy Scribe, which is aimed at journalists transcribing audio notes, takes an audio file and (for a small fee) transcribes it to text, which can then be searched. It’s pretty elegant and fairly accurate, depending on the audio quality. We could see VidDistill using this mentality to great success.

Patrick Roland, February 7, 2018

DarkCyber for January 30, 2018, Now Available

January 30, 2018

DarkCyber for January 30, 2018, is now available at www.arnoldit.com/wordpress and on Vimeo at www.vimeo.com at https://vimeo.com/253109084.

This week’s program looks at the 4iq discovery of more than one billion user names and passwords. The collection ups the ante for stolen data. The Dark Web database contains a search system and a “how to” manual for bad actors. 4iq, a cyber intelligence specialist, used its next-generation system to locate and analyze the database.

Stephen E Arnold said:

“The technology powering 4iq combines sophisticated data acquisition with intelligent analytics. What makes 4iq’s approach interesting is that the company integrates trained intelligence analysts in its next-generation approach. The discovery of the user credentials underscores the importance of 4iq’s method and the rapidly rising stakes in online access.”

DarkCyber discusses “reputation scores” for Dark Web contraband sites. The systems emulate the functionality of Amazon and eBay-style vendor report cards.

Researchers in Germany have demonstrated one way to compromise WhatsApp secure group chat sessions. With chat and alternative communication channels becoming more useful to bad actors than Dark Web forums and Web sites, law enforcement and intelligence professionals seek ways to gather evidence.

DarkCyber points to a series of Dark Web reviews. The sites can be difficult to locate using Dark Web search systems and postings on pastesites. One of the identified Dark Web sites makes use of a hosting service in Ukraine.

About DarkCyber

DarkCyber is one of the few video news programs which presents information about the Dark Web and lesser known Internet services. The information in the program comes from research conducted for the second edition of “Dark Web Notebook” and from the information published in Beyond Search, a free Web log focused on search and online services. The blog is now in its 10th year of publication, and the backfile consists of more than 15,000 stories.

 

Kenny Toth, January 30, 2018

Transcribing Podcasts with Help from Amazon

January 19, 2018

I enjoy walking the dog and listening to podcasts. However, I read more quickly than I listen. Speed up is a feature which works well for those in their mid 20s. At age 74, not so much.

Few podcasts create transcripts. Kudos to Steve Gibson at Security Now. He pays for this work himself because other podcasts on the Twit network don’t offer much in the way of transcripts. And in the case of This Week in Law, there aren’t weekly programs. Recently, no programs. Helpful, no?

You can get the basics of the transcriptions produced by Amazon Transcribe in “Podcast Transcription with Amazon Transcribe.”

One has to be a programmer to use the service. Here’s the passage in the write up I highlighted:

The first thing that I would want out of this is speaker detection, i.e. knowing how many different speakers there are and to be able to differentiate their voices. Podcasts typically have more than one host, or a host and a guest for an interview, so that would be helpful. Also, it would be great to be able to send back corrections on words somehow, to help with the training. I’m sure Amazon has a pretty good thing going, but maybe on an account level? Or for proper nouns? I still think it would be good for people to provide that feedback.

Perhaps the podcast transcript void can be filled—at long last.

Stephen E Arnold, January 19, 2018

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