Drug Trafficking2018-11-22T06:58:14+00:00

DRUG TRAFFICKING

Uncover Detrimental Dealing & Distribution

THE
CHALLENGES

Drug trafficking is a serious concern globally. As each country copes with their own distinct and diverse sets of issues, drug trafficking is one that’s shared and must be battled collaboratively. Collecting data about foreign activity and suspects that may be causing drug problems domestically is a challenge. With social media’s users sharing personal info publicly, our chances of finding the individual(s) involved in drug trafficking are leveraged and within reach. Identifying their location to track suspect whereabouts is crucial to snap links in a drug trafficking chain.

OUR
SOLUTION

Cobwebs’ technology helps yield breakthroughs in drug investigations. Our solutions provide vital tools to identify and understand drug trafficking chains, primarily based on connections and locations. Our essential tools tackle these challenges, including location detection, tracking individuals and their friends, and creating a network graph.

KEY FEATURES

PREDICTIVE MONITORING

Monitor social media, surface, deep and dark web layers continuously to collect new data and receive relevant intelligence, insight, and alerts. Leading artificial intelligence algorithms conduct statistical calculations with learned models, offering predictive insights, like deviations in targets’ activities, changes in sentiment and other unconventional anomalies.

DARK-WEB MONITORING

Cobwebs’ continuous monitoring and indexing of the dark web provides seamless connectivity to thousands of dark web sources. Our robust engine lets analysts search people and keywords to evaluate and monitor forums and markets. Triggering real-time alerts, our platform powers the discovery of malicious activities, individual actors, and their social relations.

NATURAL LANGUAGE PROCESSING

Isolate and extract context of messages and text, as our natural language processing algorithms continuously process collected text. Our system’s automation technology identifies common entity types in multilingual text, from people, to organizations, locations and more, while also providing sentiment types and supporting a multitude of languages.

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