Protecting children is more than a job — it’s a calling
Cellebrite Pathfinder can help you navigate data faster, uncover crucial evidence and accelerate justice for children.
Challenges in CAC Investigations
Crimes against children are challenging at every stage – from identifying the crime and perpetrators, to obtaining sufficient evidence to build a strong case. Additionally, these crimes are often transnational and solving these cases requires collaboration between multiple law enforcement agencies in different jurisdictions. This leads to complexities related to:
Compliance with different legislations
Staying up to date on criminal tech trends
Accurate victim identification
Insufficient personnel and resources
Overwhelming amounts of data
Lack of advanced investigative solutions
Effective case prep for prosecution
Psychological impact on investigators
Learn more about how you can overcome these challenges.
Power Your CAC Investigations with Cellebrite Pathfinder
Navigate the evolving landscape with an advanced analytics solution that helps you consolidate, investigate and collaborate to uncover hidden trails – and find those who will harm children.
Cellebrite Pathfinder will help you with these challenges:
- Insufficient personnel and tech resources
- Keeping up with criminal technology trends and anonymity techniques
- Reviewing overwhelming amounts of data
- Finding the relevant investigative leads
- Quick victim identification
Get insights and conduct faster multilayer investigations with analytics powered by a machine learning engine.
- Proving a perpetrator is taking part in illegal conduct
- Waiting for the next offense to have more evidence
- Expose a net of offenders or more children being abused
Identify an offender’s routines and locations with advanced analytics that map out a person-of-interest’s network and likely next steps.
- Psychological impact on investigators
Prevent investigator fatigue, burnout and emotional stress with automated media analysis.
Learn more about Cellebrite Pathfinder’s advanced features.
Our Customers’ Stories
Learn more about how investigative units are using Cellebrite Pathfinder to solve CAC cases.
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“Anything that allows those detectives both from a time saving and a mental health perspective is huge because you don’t have an investigator or an analyst sitting there looking at 60,000 images or videos and listening to the audio of what’s occurring. Now you’re able to bypass that and not have to expose yourself to the imagery over and over again.” – Mike Duffey, Assistant Special Agent
Cellebrite Pathfinder Features for CAC Investigations
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Trace Perpetrators and Locate Victims
Many criminals in CAC cases utilize multiple devices and each device contains, on average, more than 32,000 images, over 1000 video and 60,000 messages. When a child is at risk, finding images to identify relevant locations can be critical to tracing the perpetrator’s path. Pathfinder’s powerful image-based machine learning engine allows you to get to the content you need faster and create your own search criteria.
Watch the video to see how media categorization can help you navigate massive amounts of data.
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Identify Persons of Interest in Media
Manually analyzing overwhelming amounts of digital evidence to identify relevant suspect/victim interactions is time-consuming and can have a severe psychological impact on investigators. Cellebrite Pathfinder’s advanced analytics automate media analysis, helping agencies to quickly identify relevant individuals, even if the footage is spliced between another video.
Watch the video to see how quickly you can identify the needle in the haystack.
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Discover Patterns and Identify More Perpetrators
Perpetrators involved in child sexual abuse material (CSAM) cases often target multiple victims at once or are connected to other offenders and content distributors. With Cellebrite Pathfinder, CAC investigative units can leverage powerful machine learning capabilities to discover these connections and identify more victims and suspects involved.
Watch the video to see how these connections are mapped.
