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Home General Government

CIA’s New Directorate Taps into Digital Innovation to Predict Social Unrest

Paul Balo by Paul Balo
October 6, 2016
in Government
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The Central Intelligence Agency (CIA) reports that it can now foresee social discord up to five days before it occurs. This new capability has been developed under its Directorate of Digital Innovation, a pioneer entity set up to improve the CIA’s anticipatory intelligence.

Andrew Hallman, the Deputy Director overseeing this innovative office, expressed these developments at a recent tech symposium. He revealed that their team had constructed a high-tech algorithm using global data such as cash flow and its frequency to discern possible future events. Hallman commented, “We’re leveraging a blend of advanced algorithms and analytics against intricate systems to more accurately predict the flow of everything, from illicit cash to extremists, on a global scale.”

Deep learning techniques and other machine learning methods have been deployed to help analysts identify possible associations between unrelated data sets. These new approaches then enable the prediction of future incidents that could have national security implications.

The new era of anticipatory intelligence also greatly relies on open-source data. To create a comprehensive and robust data set, information from the CIA is intertwined with open-source data by skilled data specialists. The resulting alloyed intelligence is then used to predict the potential for social unrest in the near future.

Website Defense One reported Hallman as suggesting, “What we’re seeking to accomplish within the directorate is to utilize our knowledge from social sciences concerning the emergence of instability, coups, and financial turbulence. We’re harnessing lessons from the past six or seven decades and leveraging the growing digital instrumentation of the globe.”

Given that a significant portion of the digital world resides on social media, it is no surprise that these platforms supply the CIA with considerable amounts of data. Naturally, the intelligence agency was not forthcoming with details or strategies regarding its social media surveillance. However, it does underline the growing relevance of social media data in securing national safety.

This venture serves as an example of how governments worldwide can utilize big data for ensuring national security. If these agencies can accurately forecast events within a short time frame, they can take pre-emptive action or, in certain circumstances, sanctions before an incident occurs.

While the CIA’s application of big data and machine learning displays exciting potential, the accuracy of these predictive algorithms remains unclear. As the new frontier of digital innovation and data analytics continues to unfold, the public will await further insights into this intriguing development within national security.

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Paul Balo

Paul Balo

Paul Balo is the founder of TechBooky and a highly skilled wireless communications professional with a strong background in cloud computing, offering extensive experience in designing, implementing, and managing wireless communication systems.

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