CyanLine Reports Results of New Forensic Disk Imaging Comparison Showing the Superiority of the Company's Fast Disk Acquisition System

In recent demonstration evaluating Forensic Disk Imaging equipment, CyanLine’s Fast Disk Acquisition System (FDAS) compared very favorably in speed, ease of use and price.

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Josh King in Product Face-off Video Demonstration

Forensic investigators who need to collect images fast and frequently deal with digital imaging investigations weekly, or even monthly, should consider FDAS as a worthy investment... Its speed and efficiency are incomparable.

Eatontown, NJ (PRWEB) January 02, 2014

A recent demonstration released by Forensic Technology expert and announced by CyanLine proves CyanLine's Fast Disk Acquisition System (FDAS) to be superior in speed, ease of use and price, in comparison to its competitor, a long-standing leader in forensic disk imaging.

Josh King, technology staff writer of Best in Class Magazine, recently compared the two products in an article released on December 27 and in a new video, demonstrating valuable findings. The video is available by clicking here.

Using an 80GB SSD with eSATA, the competitor product took just over an hour to make a full forensic image and create a checksum. CyanLine’s FDAS captured the same information in less than 11 minutes.

“Forensic investigators who need to collect images fast and frequently deal with digital imaging investigations weekly, or even monthly, should consider FDAS as a worthy investment,” King stated. “Its speed and efficiency are incomparable. Investigators may even find FDAS' competitor a bit burdensome.”

Speed is not the only feature FDAS boasts, King said. CyanLine’s state-of-the-art system also allows forensic investigators the ability to view the entire image and additional metadata, or data about the data, in real-time over its secured network. “There are no shades of gray when it comes to the actual image itself,” King said.

CyanLine’s FDAS grants investigators the power to review an entire forensic image without having to download it to a computer, nor requires a source drive.

The system holds two RAID drives inside a sealed chassis, storing up to 1.5 TB of images in either dd or E01 formats. The resulting image is stored onto a target drive that is sealed within the FDAS unit. Only authorized personnel who have proper role-based permissions can review the images over the network.

King concluded that, for a slightly higher initial investment, FDAS' speed, ease of use, and more complete data collection should be considered by those with a need to use the device often.

Steven Branigan, forensic scientist and founder of CyanLine, said law enforcement agencies with financial restrictions see significant long-term benefits. “While FDAS may initially cost more, investigators make up for that cost in the substantial amount of time, energy and resources spared – potentially saving tens of thousands of dollars over the course of a year,” Branigan added.

Measuring just 8” x 6” x 4” and ruggedized, the patented FDAS can be easily shipped to any investigation location. More information is available at http://www.cyanline.com. To view the demonstration video highlighting CyanLine FDAS' superiority, visit http://www.youtube.com/watch?v=ePPngfFidFs&feature=youtu.be.

About Steven Branigan

Experienced forensic scientist and licensed private investigator, Steven Branigan has made it his mission to create forensically sound products to advance the investigative industry. Renowned speaker and instructor, Branigan is an active member in the High Technology Crime Investigation Association (HTCIA), Federal Bureau Investigation’s Infragard, New Jersey License Private Investigators Association, and on the Digital Forensics Certification Board. Branigan is the author of High Tech Crimes Revealed and recently published an article in the Journal of Forensic Sciences. With experience in domestic and international cases, Branigan has received awards from the U.S. Secret Service and New Jersey State Police.


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    Systematic Development Group
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