Oxygen Forensics: How artificial intelligence powers digital forensics.

Approaching ubiquitous social status, the powers and potential of Artificial Intelligence (AI) are increasingly linked to more and more everyday technologies and processes. But how can AI help today's digital forensic investigations? The answer lies in search, or rather, in powerful automated searches that can identify key evidence and produce deeper analysis while saving precious time.

As more personal and corporate technologies adopt AI capabilities, AI will also play a role in more crimes and incidents that will require investigation. Harnessing the powers of AI to close subsequent investigations will be critical for investigations conducted by law enforcement, government agencies, corporations, businesses, and service providers.

Uses of Artificial Intelligence in forensic investigations
For years, AI has been both hailed and feared for its potential to surpass human abilities to process information and learn along the way. AI remains a widely used descriptor among the general public that, from a research point of view, can be described as automated machine learning (ML) and natural language processing (NLP) equipment. These combined capabilities identify patterns, classify anomalies, and link connections to help investigations uncover evidence and insights that might otherwise be overlooked.

In terms of digital computer forensics, mobile forensics and cloud forensics, AI excels in sifting through large amounts of evidence, to recognize and identify relevant data in automated searches of images and videos, languages ​​and audio files. Some of its key applications include:

Images and videos
Face categorization and image categorization.
Recognition of characters and words within images.
Targeted image and facial collection.
Identification of objects within multimedia evidence.
Removing irrelevant images and faces.
Language
Translations
Patterns
Textual data
Emails
Talks
Documents
Audio forensics
Automated speaker recognition based on unique vocal characteristics and compared to known samples or databases.
Speech enhancement for clearer, more intelligible conversation recordings
Detecting anomalies between normal patterns in audio data
Real-time speaker authentication

Benefits of AI-powered research techniques
AI's ability to navigate large volumes of data can also improve analysis and provide better understanding of that data. The analytical powers of AI lie in identifying not only the patterns, anomalies and trends mentioned above, but also subtle correlations and nuanced irregularities that traditional manual analysis might miss.

Automation and AI learning streamline time-consuming tasks such as data collection, analysis, and reporting, reducing the time researchers must spend on search tasks. By using AI to perform repetitive, mundane processes, investigators can spend more time on the critical thinking and problem-solving aspects of each case. More time can be spent on higher-value, general tasks such as hypothesis generation, decision making, and strategy development.

Streamlined search and analytics processes close investigations faster, reducing delays and budgets. Automated AI capabilities can help research teams offset staffing challenges during shortages of trained professionals or budget and resource constraints.

Incorporating AI into your digital forensic investigations
As the challenges of discovering and analyzing evidence become more complex, so will the investigative tools needed to identify evidence and keep pace with caseloads. Leveraging the capabilities of AI will be imperative for law enforcement, government agencies, businesses, and service providers to remain ahead of the curve in their approach to digital forensic investigations and the tools they use to obtain optimal results.

Image categorization capabilities in Oxygen Forensic® Detective, Oxygen Remote Explorer, and Oxygen Analytic Center use AI automation to detect and categorize images and photo text and find similar data in extracted files, saving time and resources by removing irrelevant images and focusing on key evidence.

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