IBIS™ for C-UAS Data Fusion: From Detection to Defeat

You can generate abundant C-UAS data. But the critical question can remain unanswered: is the threat defeated? Every C-UAS system records a flight in its own format, but operators need to assess and adjust between engagements. Without a cohesive picture, they lack the insights necessary to make strategic, real-time decisions.

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Summary

During a SOF field exercise, six EW-based C-UAS systems were tested against overnight infiltrations. All six systems fell short. They detected threats but provided counter-measures that didn’t stop the drones from flying. IBIS™ was brought in to show why this happened and how to eliminate gaps in future engagements. 

Discover why modern C-UAS systems fail to present a unified picture of an event, opening missions up to operational risk, and how IBIS™ works with C-UAS sensors to combine usable evidence and allow operators to take action. 

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IBIS™ for C-UAS Data Fusion: From Detection to Defeat

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