Revolution in Automotive Forensics

Revolution in Automotive Forensics

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Vehicle systems store a vast amount of data such as recent destinations, favorite locations, call logs, contact lists, SMS messages, emails, pictures, videos, social media feeds, and the navigation history of everywhere the vehicle has been. Many systems record events such as when and where a vehicle’s lights are turned on, which doors are opened and closed at specific locations, and even record audio from inside the vehicle.

A combined offering of a vehicle forensics kit and an analytical software will enable investigators to discover the data left behind in vehicles and solve more crimes.

MSAB, known in forensic technology for mobile device examination, and Berla, known for automotive digital forensics and cyber security, announced a strategic partnership designed to afford users a game changing solution to access and analyze data from both vehicles systems and mobile devices.

“As the Internet of Things and automotive technology continue to evolve rapidly it is essential that investigators have tools that can keep pace with the global marketplace while maintaining an edge in digital forensics,” said Joel Bollö, CEO of MSAB.

According to, Berla’s iVe kit is a vehicle system forensic tool that supports vehicles throughout the world. It provides forensic examiners and investigators a means to quickly and intuitively acquire and analyze data from vehicle systems.

MSAB’s XAMN family of analytical software is a suite of analysis tools designed primarily for investigators to help them to work more efficiently. Once mobile data has been recovered using the XRY suite of tools, it is usually the investigator’s responsibility to locate and analyze the critical information. The XAMN suite of analysis tools helps to quickly identify that critical information, whether to see the big picture or identify precise details in a huge dataset of mobile evidence. XAMN tools are simple to use and therefor minimize the requirement for infrastructure and training.