Signals Intelligence

hero_network_dataSignals intelligence (SIGINT) is intelligence-gathering via the interception of signals, whether between people; Communications Intelligence (COMINT), whether involving electronic signals not directly used in communication; Electronic Intelligence (ELINT), or combinations of the two. This type of intelligence is typically derived from electronic signals and systems used by foreign targets and/or domestically sourced communications, such as communications systems, radars, and weapons systems. SIGINT provides a vital window for our nation into foreign adversaries’ capabilities, actions, and intentions.

As sensitive information is often encrypted, signals intelligence often involves the use of cryptanalysis and traffic analysis which is the process of identifying who is signaling whom and in what quantity. This can often produce valuable information, even when the messages themselves cannot be decrypted.

The National Security Agency is the primary agency responsible for providing foreign and domestic Signals Intelligence (SIGINT) to United States policy-makers and military forces. SIGINT plays a vital role in U.S. national security by providing U.S. leaders with the critical information needed to defend our country, save lives, and advance U.S. goals and alliances globally.

The SIGINT mission is specifically limited to gathering information about international terrorists and foreign powers, organizations, or persons. NSA produces intelligence in response to formal requirements levied by those who have an official need for intelligence, including all departments of the Executive Branch of the United States Government.

Umbra Applied Technologies (UAT) is a leading provider of intelligence, to include SIGINT, through geopolitical analysis and an understanding of international affairs. UAT uses an, intelligence-based approach to gathering information via rigorous open-source monitoring (OSINT), via its revolutionary UAT Sentiment Analysis Platform (USAP), and a global network of human sources. Analysts then evaluate events looking through collected data and the objective lens of geopolitics.

Open Source Intelligence

hero_eyeWeb Open Source Intelligence (OSINT) is information collected and analyzed from multiple public available sources on the Internet. OSINT creates usable intelligence sources for open source intelligence, and can include any subject in any language found anywhere on the Web.

In contrast to common search engines like Google, Yahoo, Bing or others, the information targeted, collected and analyzed by OSINT solutions creates an aggregated, rich and validated intelligence product including information from the Deep Web. The Deep Web accounts for about 80% of the data on the Web that is not accessible to commercial search engines such as:

• Sites requiring registration in order to access information, including publications and local directories
• Social networks
• Corporate intranets
• Market research services and all other information services;
• Files and media sharing sites and geo-spatial information around the world.

But it is not just about retrieving, collecting and analyzing targeted information — it is about automating the process and deriving actionable intelligence by putting the pieces together and delivering it to the right place at the right time.

The importance of Open Source Intelligence (OSINT) has grown dramatically in recent years due to the Web revolution. Today, for most government agencies, OSINT is becoming the major source of intelligence, and increasingly recognized as the answer to many of today’s intelligence challenges.

Network Intelligence

hero_cyber_securityPrior to 9/11, the intelligence process and tools used by our government were primarily directed at known threats with well understood functions and activities. However, with the rising importance of non-state actors and asymmetric threats, threat-focused processes and tools are now directed at known threats whose functions and activities are not well understood. Today’s intelligence environment is characterized by voluminous amount of data; with the information age exponentially increasing the volume, variety, and velocity of available data. This environment has spawned the development of an entirely new Signals Intelligence (SIGINT) sub-discipline, Network Intelligence (NETINT).

The objective of an intelligence discipline is to apply sources, sensors, and analysis to provide a decision advantage or to enhance decision confidence. The current intelligence disciplines each arose out of a change in environment and technology to provide a unique perspective on the threat. Each discipline is focused on an object, not directly on a relationship. Combined by a talented analyst, they can provide great insight. Current recognized intelligence disciplines include: Open-Source (OSINT), Human (HUMINT), Signals (SIGINT), Geographic (GEOINT), Measurements & Systems (MASINT), Technical (TECHINT), and Counter Intelligence (CI). All of the current disciplines demand Requirements Officers, Intelligence Collectors and Analysts with unique capabilities.

Today, these disciplines leverage network analysis tools to add value to analytical products and enhance analytical capacity to spot non-intuitive linkages. NETINT provides insight into relationships to build a representation of threat functions and describe the behavior of a system of systems. This methodology can both provide decision advantage with new insights and enhance decision confidence through adapting repeatable quantitative processes. Data sources include other intelligence domains, the ubiquitous computing environment and social media. Unique sensors can produce population indexing, sentiment analysis, and models of human intent. Network Intelligence addresses many of the challenges inherent in identifying mechanisms and measuring effectiveness to support Effects Based Operations.

The network intelligence analysis process starts with a systems perspective and establishes the status, behavior and linkages of nodes within and between chosen metrics. For example, analysis may model relationships between nodes representing individuals and geographic or conceptual metrics. Multi-metric analysis can enable the development of a network model for human behavior.

Under the HERMES Directive, Umbra Applied Technologies (UAT) has leveraged NETINT with innovative know-how to create the apex sentiment metrics and intelligence gathering platform. The UAT Sentiment Analysis Platform (USAP) is a high-performance and advanced intelligence platform that uses advanced metrics and algorithms to locate and extract sentiment from Open Source Intelligence (OSINT) or digital content sources, including mainstream websites, social media outlets, internal servers and incoming news feeds. UAT’s unique hybrid approach combines powerful statistical techniques with linguistics and syntax metrics to improve accuracy at an exceptionally detailed level. It summarizes the sentiment expressed in all available communications collections – identifying trends in real time so as to identify what is “Of Interest” and what is “Actionable Intelligence”.


hero_21BuzzSwat™ is different from typical data miners. We provide our clients with a Social Media Command Center supported by advanced technology and superior analysis by trained agents. Our analysts review and determine the intended sentiment of the message within the context of the conversation. We use a proprietary algorithm to assign a significance factor to the chatter based on social influence and many other variables. Our technical solution to support the Social Media Command Center is called ChatterFox™.

BuzzSwat™ analyzes chatter from popular social networks including news, blogs, forums, and micro blogs to empower clients to make informed decisions about public relations, brand management, advertising effectiveness, sales opportunities, customer service, corporate intelligence, and security.

BuzzSwat™ specializes in social media monitoring, analysis, and alerts with an emphasis on personal and small business brand management and security. Why? Because social media changes everything including the way consumers shop, the way brands interact with customers, the way candidates run for office, even the way civil ideals become like Occupy Wall Street. The first day Twitter was made public there were 224 tweets. In July 2011, the rate of tweets exceeded 2,240 per second. The explosive growth of social networks far exceeds the ability of individuals or companies to make sense of the chatter. Those who choose to ignore social networks do so at their own peril. Those who embrace and engage the notion of going social will prosper.

Services With BuzzSwat™ Umbra Applied Technologies provides social media monitoring and analysis services to individuals; and small and medium sized business for brand and reputation management. We also specialize in customized solutions for security to public and private institutions that wisely choose to pay attention to social network chatter. Our technical solution to support the Social Media Command Center is called ChatterFox™. ChatterFox™ uses advanced search techniques to aggregate and analyze social media chatter based on specific criteria and proprietary algorithms. Our trained analysts then aggregate and customize the results on a per–client basis reporting in real time or predetermined intervals.

In addition to providing valuable monitoring intelligence, our social media analysts manage ever–changing search criteria while ranking the tone of the chatter along a spectrum of importance relevant to the customer. Initial ranking is determined within ChatterFox™, whereby search results filter through a database of key words, influence metrics, and geotargeting rating the chatter as friendly, neutral, or hostile. Results are available online and customers may elect to receive alerts via email and text message based on urgency.

Headquartered in Short Hills NJ, USA, Umbra Applied Technologies has a team of experienced individuals with specialties ranging from public relations, marketing, social media, ecommerce, customer service, information technology, and security. We take pride in our personal and business relationships and are committed to exceeding our customer’s expectations.


chatterfoxFor some people, automated technology may be enough. These customers can manage their own accounts and ChatterFox offers that as a retail solution. It is the premise of simplicity and convenience that ChatterFox is built upon to offer a social media monitoring managed service for consumers.

ChatterFox’s entry level service provides limited search queries, automated results, and educational tips, newsletters, and other communications on issues of importance in social media. Entry level service will be temporarily free. Second and third tier products provide progressively more features, search queries, in–depth results. These services are billed monthly with no contract and a 30 day cancellation policy.


Retail customers Individual consumers concerned with individual personal brand management and individuals wishing to monitor others, sports teams, their company, brands, or news topics.

ChatterFox Commercial Managing social media has become increasingly challenging for companies. Results from a survey by Mashable report that developing a listening/monitoring solution and getting tools and technologies in place are in the top internal objectives of corporate social strategists in 2011.

BuzzSwat’s commercial customers include companies, agencies, and institutions requiring broad and deep social media monitoring and analysis and choose to subscribe to a tool that will help them make informed decisions without the expense and expertise required to do these services in house. Most potential customers realize that they can choose to ignore the impact social media intelligence has on their respective industry at their own peril.

ChatterFox is designed to aggregate and analyze social media chatter based on specific search criteria from popular networks including news, blogs, and the top social media sites. Search criteria can be complex and customized for commercial customers to include multiple user–defined variables including keywords, demographics, location, and language. Crisis management is indeed an important role of social monitoring. If brands are quick off the mark with social media monitoring, this is a valuable way to avert a crisis before it spreads. Monitoring social media for brand management is more long term. In these cases automated technology is insufficient when it comes to sentiment analysis. Monitoring and analysis must take place over time and only trained analysts can review and determine sentiment trends in aggregate and within context. BuzzSwat builds long term relationships with our commercial clients, offering them advanced services which can include integrating our monitoring and analysis service with their social media inbound and outbound marketing strategy.

Sentiment Analysis Platform (USAP)

usapSentiment analysis or opinion mining is the computational study of people’s opinions, appraisals, attitudes and emotions toward entities, individuals, topics and their attributes expressed in text. Opinions are important because they are key influencers of our behaviors. Our beliefs and perceptions of reality are to a considerable degree conditioned on how others see the world. For this reason, whenever we need to make a decision we often seek out the opinions of others. This is true not only for individuals but also for organizations.

Under the HERMES Directive, Umbra Applied Technologies Sentiment Analysis Program (USAP) delivers insights on customer, competitor and organizational opinions to a degree never before possible via manual review of electronic communications. As a result, UAT, a leader as an intelligence services provider has once again created a revolutionary platform for intelligence gathering.

USAP is a high–performance and advanced intelligence command center that uses advanced metrics and algorithms to locate and extract sentiment from digital content sources, including mainstream websites, social media outlets, internal servers and incoming news feeds. UAT’s unique hybrid approach combines powerful statistical techniques with linguistics and syntax metrics to improve accuracy at an exceptionally detailed level. It summarizes the sentiment expressed in all available communications collections – identifying trends and creating graphical reports that describe the expressed feelings of consumers, partners, employees and competitors in real time. Output from UAT’s USAP platform can be stored in document repositories, surfaced in corporate portals and used as input to additional UAT intelligence software to help decision makers evaluate trends, predict future outcomes, minimize risks and capitalize on opportunities.

UAT has automated the time–consuming process of reading individual documents and manually extracting relevant information. Our integrated analytics framework helps organizations maximize the value of information to improve their effectiveness. We provide our clients with an Intelligence Gathering Command Center supported by advanced technology and analysis by trained agents. Our analysts review and determine the intended sentiment of the message within the context of the conversation. We use a proprietary algorithm to assign a significance factor to the chatter based on social influence and many other variables.

USAP helps organizations discover insights from network intelligence materials, associate them for delivery to the right person or place, and provide intelligence to select the best course of action. USAP is an early warning system that answers complex search–and–retrieval questions, ensures appropriate content is presented to internal or external constituencies, and predicts which activity or channel will produce the best effect on existing sentiments. UAT’s USAP platform provides exceptional real–time processing speeds for large volumes of network intelligence materials.

USAP Benefits

Evaluate sentiment and monitor changes over time. USAP algorithms automatically extract sentiments in real time or over a period of time with a unique combination of statistical modeling and rule-based natural language processing metrics. Built-in reports show patterns and changing reactions or event correlations.

Identify feedback sources to define new tragets. By actively mining data from across the web, USAP alerts our customers to reputation management related isuues. It scores content retrieved from crawling, filtering out the most important concepts so you can pursue promising opportunities.

Continuously improve customer experience and competitive position. The software searches for and evaluates internal and external content about your organization and competitors, identifying positive, negative, neutral and “no sentiment” texts quantifying perceptions in the market.

Promote ongoing discovery with a closed-loop, integrated analysis environment. With ongoing evaluations, you can refine models and adjust classifications to reflect emerging topics and new terms relevant to your customers, organization or industry.

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USAP Features

Statistics and linguistics combined to provide more accurate sentiment analysis results
Provides a choice of approaches to sentiment analysis:
Statistical modeling: Provides predefined default parameters – that can also be configured – to identify the document sentiment from text.
Linguistic rules: Lets subject-matter experts define the elements to be examined for sentiment assessment.
Hybrid approach: Provides the unique ability to use both statistical rigor and linguistic metrics to define sentiment models driving more detailed sentiment evaluations.

Ability to import and/or create concepts for evaluations.

  • Extended sentiment evaluation
  • Specify as “unclassified” any terms in a taxonomy that are found in the text but are not identified as positive, negative or neutral. This capability provides two main benefits:
  • Assists with model refinement.
  • Helps refine activity by pointing out unemotional statements.
  • Context of features examined for accurate interpretations
  • Supports complex linguistic metrics for one or several matches of a term, regular expressions, part-of-speech tags, the distance or occurrence of concepts in relation to other words, and more.

Includes prebuilt tasks to simplify linguistic pattern identification. It offers:
Predicate rules to define semantic relationships between concepts.

Operators to locate related information with greater precision, such as co-referencing.
Identification of intermediate concepts that contain rules referenced by other concepts (shortens the rule-writing process).

Case-insensitive matching, so you can match both uppercase and lowercase terms.

Dynamic sentiment analysis


  • Permits improvements and/or changes over time with multiple model generation within the same project, and the ability to edit and test model modifications.
  • Allows subject matter experts to refine model performance with an easy-to-use point-and-click workbench.
  • Monitoring of results over time will inform model analysis refinement, and comparisons to benchmark training sets can be established to allow for continuous improvement.

Sentiment terms can be industry specific. For example, analysis of public sentiment about a feature film will differ from analysis of sentiment on political candidates. USAP provides custom linguistic analysis including geotargeting.

Easy-to-use interface for model development

  • A mechanism to directly upload sentiment analysis models to the server reduces manual model deployment.
  • Keyboard shortcuts are available for interactivity, as well as enhanced search functionality assisting with model development activity.
  • Project wizard allows you to configure your project while it is being defined.
  • Panes in the interface simplify tasks and display more information, such as rule evaluations and search results.

Interactive workbench for model refinement

  • Graphics depicting sentiment are displayed to readily identify the resulting classification as positive, negative, neutral or unclassified.
  • Point-and-click exploration of classified text, drilling to detail as desired.
  • Enhanced report formatting improves results display.
  • Ability to add new concepts/entities to capture desired topics.
  • Word cloud report, based on defined concepts, automatically illustrates extracted noun phrases.
  • Some workbench functionality is available through Web services APIs so documents can be programmatically added to different projects, exported, managed, searched, etc.

Updates on Web postings, reviews and opinions

  • High-performance, multithreaded crawler that can be deployed in a distributed mode to maximize processing and support extremely large-scale crawls for both internal file system and Internet crawls.
  • Powerful linguistic technology is built in to extract URLs from Java scripts.
  • Web crawls can be interrupted and resumed.
  • Document processor makes it easy to parse, export and control processing and output.
  • Duplications are automatically removed.
  • Supports desired restrictions (e.g., to specific file formats or servers, restrict the area or specify search depth) on crawling to customize searches.

Multiple languages supported

  • A mobile platform is available, providing up to the moment trending topics around the world on a Smartphone.
  • Full suite of 27 languages (plus dialects) available.
  • Supports Arabic, Chinese (both Simplified and Traditional), Czech, Danish, Dutch, English (US/UK), Finnish, French (French/Canadian), German (New/Old), Greek, Hebrew, Hungarian, Indonesian, Italian, Japanese, Korean, Norwegian (Nynorsk/Bokmål), Polish, Portuguese (Portugal/Brazil), Romanian, Russian, Slovak, Spanish (Spain/South America), Swedish, Thai, Turkish and Vietnamese.