Airlines must protect aircraft in the air and on the ground from numerous risks and hazards. There are many sources of data to identify potential hazards and flight risks, but they typically come from different sources, at various times, and without any assessment of interactions, dependencies, and how combinations of conditions increase risk. Safety-related events commonly are caused by a combination of hazards, but airlines have no systems to identify combinations of conditions that increase risk. Forecasts of evolving safety conditions do not exist, forcing operators into reactive modes that prevent effective planning and mitigation.

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Preventing safety-related events requires identifying multiple hazards, understanding how combinations of conditions affect risk, and predicting when unsafe combinations of conditions may occur. In partnership with the NASA System Wide Safety Project over the past few years, Robust Analytics has developed a suite of applications to monitor and predict safety margins in terminal airspace.