Complete Signal Protection: Mission Darkness Faraday Bag Bundle
The Mission Darkness Faraday Bag Bundle is a limited edition gift set that combines essential faraday bags for comprehensive signal protection. This bundle includes non-window faraday bags designed to fit phones, tablets, laptops, and key fobs, offering a versatile solution for personal data security, executive travel, and more.
Military-Grade Signal Blocking:
These faraday bags are designed to meet the rigorous standards of military and law enforcement forensics investigators. They provide effective signal isolation, making them ideal for anti-hacking, anti-tracking, and keyfob signal relay prevention. The bags offer protection against a wide range of signals, including WiFi, Bluetooth, 5G networks, GPS, RFID, and radio signals, with an average attenuation of 90dB from low MHz to 40GHz. They also provide shielding against EMI, RFI, and EMF radiation.
Lab Tested and Certified:
The Mission Darkness Faraday Bags have been rigorously tested and certified for shielding effectiveness. Tested by Keystone Compliance Laboratory and conforming to IEEE 299-2006 and MIL STD 188-125 standards, these bags preserve the working integrity of electronic devices in the event of EMP or CME. The lab-tested performance ensures your devices remain protected.
Durable Construction:
These faraday bags are built with high-quality materials, featuring a water-resistant ballistic nylon outer material and two interior layers of high-shielding TitanRF Faraday Fabric on all sides. Each bag comes with a unique serial number for asset tracking. The phone, tablet, and laptop bags include a transparent pocket on the back for placing company information or evidence cards.
Made in the USA:
Rest assured that these faraday bags are proudly made in the USA, adhering to the highest quality standards. The Mission Darkness Faraday Bag Bundle is universally sized to fit popular device models, offering a practical and reliable solution for protecting your sensitive electronic devices and personal data.