With the exponential growth in the volume and data complexity, agencies operating telecom interceptions need to handle growing numbers of information sources and the data overflow which accompany them, outsmarting sophisticated evasive techniques that exploit the relative anonymity offered by modern internet-based services. By automatically analyzing large volumes of data, analysts can deal with the information-flow streaming from mass communications, by monitoring systems in a timely manner. This enables investigators and analysts to exploit actionable information in addressing the short life-span of potential targets.
Automatic, intelligent analysis of content is therefore imperative, transforming large volumes of unstructured data to a structured and meaningful information process.
While communications interception has always been maintained as a strategic asset, providing efficient analytic tools operated by investigators, as part of criminal investigations, these huge volumes of data can turn into valuable insights and leads. Both and are introducing powerful analytic data processing systems that have recently evolved from the shadows of top secret services, into the commercial, emergency and law-enforcement domain.
Video below: NICE Systems demonstrates speach analytic analysis for service centers, live on CNBC’s “Squawk Box”
is offering a powerful a data fusion and analytic system called , to assist crime investigations. Similar systems are used by counter- and counter terror agents in to reveal and hunt hostile and criminal networks. The system implements analytic methodology, utilizing inference solution suites, linked to various data sources, mapping dynamic links between disparate objects, indicating potential associations between different entities. Results are displayed in an intuitive environment, designed for the use by analysts and investigators. This end-to-end data investigation solution includes powerful data access, smart scoring, alert management, visual desk investigation and reporting capabilities. ’s patent-protected speech analytics solution is capable of indexing every word and phrase identified for context and meaning. Conversations containing specific words or phrases can be isolated for further investigation, and with trend analysis, reveal activity around these terms.
Similar services are built into the powerful NiceTrack communications monitoring and analysis suite, incorporating a range of analytical and operational tools, improving the extraction of products from communications monitoring. Typically, analytic systems provide voice analysis – applying voice recognition, speaker-verification and identification, and ‘voice content structuring’ speech processing technology, trained to spot specific spoken words, phrases and even detect excitement in speech.
Nice Track converts raw voice records through ‘’ process, enabling automatically annotating of data with identifying tags and textual categories to describe the data, uncovering hidden relationships and events ‘buried’ within mass volumes of textual information. The process begins with the spoken words turned into text, by voice and speech recognition processing. Once converted, call records are processed through data mining techniques, to seek meaning and insight into voice, text, email and other data formats. Processing includes language identification, translation, word spotting and more accurate phrase spotting. Analysts can also rely on content analysis for the understanding of the textual content and structure. Target profiling can be obtained, utilizing target location tracking in real time as well as offline tracking of the target’s movement over time. Based on such automatic processing of context analysis, automatic alerts can be issues on the interception of important evidence or in response to short life spanned information.
Data analysis has also been widely implemented in the financial, business and commerce sectors, tracking fraudulent activity, money laundering and mitigating business risks. One of the leading companies in this field is Fortnet, recently acquired by Actimize, a subsidiary of Israeli based, which was also dominant in this field. With this acquisition, the majority of the world’s largest banks and all top-ten global banks will be using Actimize, for compliance and financial crime prevention. Such systems are used for Anti-Money Laundering, real-time cross-channel fraud prevention; brokerage compliance and enterprise case and investigation management. Since its foundation in 1993 Fortent provided analytics based Anti-Money Laundering (AML) and financial crime prevention system solutions for the financial services industry, servicing top-tier clients such as Barclays, JPMorgan Chase, Mizuho, Royal Bank of Scotland and Scotiabank.