SMARTER AND FASTER THAN TODAY’S SOPHISTICATED TARGETS

The world has become a more dangerous place. Intelligence agencies across the globe need to deal with evolving threats stemming from sophisticated targets using multiple methods to conceal their identities. The sheer volume of data collected has become, in itself, one of the obstacles to the timely interception of crimes and attacks. Analysts dig for insights through increasingly growing amounts of data, where a major part of it is encrypted or inaccessible. This new reality demands a new mindset and new technologies to help intelligence analysts predict previously unpredictable crimes and security risks before they develop into full-blown threats.

THE FUTURE OF INTELLIGENCE ANALYSIS IS HERE

Fifth Dimension brings a revolutionary approach to the intelligence domain. With the deep learning technology and the unique entity model, Fifth Dimension turns the ‘unknowns’ into ‘knowns’ to automatically predict and detect threats which were previously hidden. Fifth Dimension fuses massive amounts of raw data, structured and unstructured, and transforms them into meaningful intelligence insights. This enables analysts to simply ask intelligence questions and receive holistic answers, significantly shortening the time to intelligence and avoiding intelligence failures.

NOT KNOWING IS NO LONGER AN OPTION

Every intelligence gathering and analysis team has a unique set of structured and unstructured data sources and operates within a particular legal framework. Fifth Dimension adapts the solution to the needs and the sources of each agency, so that it can provide national security, defense and law enforcement agencies with the predictive intelligence to prevent dangerous situations from developing.

USE CASE

SECURITY TASK FORCE THWARTS CRIMINAL MIGRANT SMUGGLING

Europe is facing an opportunistic rise of complex criminal smuggling networks with an estimated 90% of all migrants facilitated by smugglers at some point on their journey. A Task Force, created to curtail migrant smuggling in the region, isolated a number of factors common to smuggling suspects, including age, nationality, criminal history, money transfer methods, social media activities and heightened security awareness. However, the Task Force was stymied by the overwhelming amount of unstructured data, global nature of the investigation, and sophisticated methods used by the smugglers to avoid law enforcement detection.

Fifth Dimension’s deep learning solution met the daunting operational challenge facing this Task Force, and empowered it to respond to this unprecedented crisis by dismantling the network and its operations. The platform’s advanced pattern recognition technology alerted the Task Force about potential leads, which were cross-referenced with a list of people present in a known smuggling area. A group detection algorithm  pinpointed and extracted a group of suspects involved in smuggling activities from within the data. Further entity analysis exposed the specific members of the criminal smuggling network, including its leaders, local liaisons, brokers, counterfeit document providers, money handlers and corrupted officials.

USE CASE

SECURITY AGENCY EXPOSED AND PREVENTED TERROR-RELATED RECRUITMENT ACTIVITIES

The Internet’s ease of access, anonymous communication, global access and a virtually unregulated environment are readily exploited by ISIS to fundraise, spread propaganda and hunt for potential recruits. To neutralize the ongoing recruitment process, a National Security Agency had to find a way to create a coherent picture from the thousands of suspicious accounts and massive amounts of unstructured data collected from various types of sources, including Web intelligence (WEBINT), tactical intelligence missions, mobile device traffic via lawful Interception, and data received from cyber operations.

Using the Fifth Dimension deep learning intelligence platform, the Agency was able to fuse all data and expose terror-related recruitment activities. Utilizing advance search techniques, clustering and image detection, the Agency isolated an initial list of suspects based on complex parameters such as age, participation in radical lectures, volume and intensity of terror-based social media posts.  Further investigation using pattern recognition and risk profiling enabled the Agency to narrow down and extract concrete leads involved in recruitment activities. As a result, the Agency intercepted the suspect in the airport while he was attempting to board a flight to a radicalized country. The subsequent interrogation ultimately led to the arrest of his mentor, a previously unknown key figure in the ISIS recruitment network

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