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The Use Of Artificial Intelligence In Digital Forensics

Created on September 9, 2022

E-Discovery Market Analyst at Exterro

As we steamroll through 2022, interest in artificial intelligence has been gaining steam—and specifically how it applies to legal and compliance technology. Essentially, the concept of AI mimics the thought and reasoning processes of the human brain and applies that to help streamline and/or automate manual processes.

AI is starting to find its role in Cybersecurity, especially as it relates to filtering for false positives and taking on the manual tasks that are too time-consuming for professionals. It is finding a strong foothold as well in the world of Digital Forensics.

Let’s take a look at some real-world possibilities with AI.

Embracing the IoT

Most of us have heard of this acronym before, and it stands for the “Internet of Things.” This is where all of the objects we interact with in both the physical and virtual worlds are connected. Some examples of this are Siri and Cortana, the Virtual Personal Assistants (VPAs) found on both the iOS and Windows operating systems, respectively. Another is that of the Smart Home. This is where at the clap of your hands, you can either turn on your TV or even start brewing your cup of coffee. 

The same holds true for digital forensics. Every part of the investigative and evidence presentation process is now interlinked, driven primarily by IoT. Could AI examine the structure of a raw image taken by a camera and link that to other pieces of evidence, such as content found in an email message or social media posting? Better yet, could it describe the degree of that correlation and provide recommendations as to how it can be best showcased in a court of law? Take even newer pieces of evidence and correlate that with older pieces that have been collected previously?

“What If" Scenarios

Some of the digital evidence collected from a crime scene may not prove to be as useful as others. But the bottom line is that in order to build a solid case, all pieces must be examined, even if they ultimately have the remotest of uses. This is where the role of constructing hypothetical situations can come into play. Imagine if AI can help to build robust “What If” scenarios from these less useful pieces of evidence and show other forms of intent that the criminal could have embarked on as well. In other words, AI can take hunches and gut feelings that cannot be explained easily and transform them into real-world, believable scenarios.

Data Mining

AI can be used to help discover hidden trends in the pieces of evidence that is collected. But better yet, AI knows no bounds to how much data it can process and analyze. For example, it can go through terabytes and even petabytes of information and data in just a matter of a few minutes to find even much deeper trends and correlations in the datasets. This is also known as “data mining,” or “big data.” In this regard, a subset of AI, known as “Machine Learning” (“ML”), is used, as it can be used for incorporating highly complex statistical principles into the data mining process.

New Forensic Possibilities Based on Proven Capability

Exterro FTK leverages our leading-edge Artificial Intelligence technology to help transform the investigative environment, empowering users with pioneering tools so that they can get access to evidence faster and help uncover more relevant findings when processing and analyzing data, understanding connections that could sharpen focus and direction. Exterro has mastered AI over the past five years and has successfully launched two AI-driven products that have been battle-tested, and now is incorporating AI capabilities into forensic evidence processing and review.

Learn more about other elements of the FTK Suite in the product brief for our latest release!