In 2011, the simple exploitation of an existing data set could have prevented a near disaster in northern Afghanistan.
Then, an entire operations center watched as the feed from an MQ-1 drone, newly reassigned from its original mission, displayed a growing group of protesters at the perimeter of a small U.S. forward operating base. Although conventional signals intelligence indicated a possible disturbance, full-motion video confirmed the severity of the threat only well after it had matured. Intelligence analysts didn’t understand what the protestors were doing — and why they were doing it — until they had already massed at the entry point. If used properly, automated social media monitoring and geofencing, which calls for creating virtual geographic boundaries, could have filled this critical gap in situational awareness.
Read the full article at C4ISRNET
More from CNAS
CommentaryArtificial Intelligence’s Role in Trusted National Security Supply Chains
U.S. economic prosperity and national security is at risk due to a dependency on the resiliency, diversity, and security of global supply chains....
By Lt Col Gabe S. Arrington & CDR Andrew J. Adams
CommentarySharper: The Indo-Pacific Pivot
Previous presidential administrations have laid much groundwork diplomatically and militarily to ensure a strategic pivot to the Indo-Pacific. The past week has seen the ASEAN...
By Anna Pederson
ReportsReboot: Framework for a New American Industrial Policy
The relationship between American industry and the U.S. government must change. The nature of the U.S.-China strategic competition, one centered on technology, requires a rese...
By Martijn Rasser, Megan Lamberth, Hannah Kelley & Ryan Johnson
PodcastUpdate on Russo-Ukraine Conflict with Sam Bendett
On this episode of the DefAero Report Daily Podcast, sponsored by Bell, Sam Bendett of Center for Naval Analyses and a visiting fellow at the Center for a New American Securit...
By Samuel Bendett