Weatherman—Predicting Threats

Weatherman—Predicting Threats
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“Weatherman applies its radar—advanced predictive algorithms that distill data from different sources—to pilot a plot a threat forecast.”

Weatherman is a predictive platform that synthesizes threat-related data to instantly create “threat forecasts.” Engineered over a six-month period beginning in October 2013, Weatherman is built on Booz Allen’s underlying predictive intelligence cloud analytics stack.

The platform collects and connects raw data from news reports, social media, and threat catalogues from third-party groups, among other sources. The resulting report uses maps and charts to create a histogram of threat activity over time, down to the state, province, or city level, and provides models of potential future terror activity for any such area.

Today, to act as a threat meteorologist, an analyst simply inputs the location, time period, and terror groups or categories that he or she is interested in. Within seconds, Weatherman applies its radar—advanced predictive algorithms that distill data from different sources—to plot a threat forecast based on the elected variables. Weatherman’s lightning-fast analysis enables analysts to match the rate at which global threats evolve.

And it doesn’t stop there. Booz Allen is applying the Weatherman technology to the financial sector. A rebranded and retooled version, known as Risk Canvas, currently helps financial clients with their anti-money-laundering and risk assessment efforts.