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Founded Year


About 911Security

911Security is an airspace security software and solutions provider that develops drone detection solutions.

Headquarters Location

10874 Plano Road Suite B, Bldg. 2

Dallas, Texas, 75238,

United States


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911Security Frequently Asked Questions (FAQ)

  • When was 911Security founded?

    911Security was founded in 2009.

  • Where is 911Security's headquarters?

    911Security's headquarters is located at 10874 Plano Road, Dallas.

  • Who are 911Security's competitors?

    Competitors of 911Security include Dedrone and 1 more.

Compare 911Security to Competitors

Dedrone Logo

Dedrone develops a professional anti-drone early-warning and identification system for all applications. DroneTracker, which was developed by Dedrone, provides early warning of illegal UAVs and is used to protect industrial plants, government buildings, and other critical infrastructure installations against smugglers, spies, and terrorist attacks. The company was founded in 2014 and is based in San Francisco California.

Hidden Level

Hidden Level's services include classical systems engineering, data modeling and analysis, field and test support, embedded software and firmware development, PCB design, and full product lifecycle management. The company was founded in 2018 and is based in Syracuse, New York.

Senhive Logo

Senhive develops drone detection solutions and other services.


Irondrone is in the field of drone detection and interception.

Version 2

The Version 2 Drone Sentry System offers reliable area wide drone detection with the benefits of radar and infrared for a fraction of the price. Installation is simple and error-proof to ensure that a threat detected is a real threat.


Magna provides 3D video surveillance solutions for borders, airports, seaports, nuclear facilities, and other critical infrastructure. Its adaptable and customizable passive electro-optic radar security systems offer perimeter protection/security, drone detection, and maritime security. Magna has developed proprietary self-learning algorithms that can distinguish in real time between human, animal, and plant movement with a 99% detection rate and an average of only one false alarm per 24 hours.

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