PREDETECT

Detect the behavior of online child predators and help prevent child exploitation.

Dedicated to

Detecting Harmful Content

The latest studies indicate one in five 8 to 11 year olds and seven in ten 12 to 15 year olds has a social media profile. Within those, one in four children has experienced something upsetting on a social networking site.

Given the increasing number of underage users and the exponential growth of user-generated content (UGC), the opportunity for abuse is growing.

Based upon years of experience analyzing data provided to the National Center for Missing and Exploited Children (NCMEC) and other appropriate authorities, the PREDETECT system was built to simply, securely, and scalably detect cases of potential child exploitation and is available for free to qualified organizations.

Conversational Analysis

The purpose of conversational analysis is to classify messages and conversations into multiple topics and categories, which are viable for further consideration both individually and in-sequence. During this step, messages are analyzed using the latest research in Natural Language Processing (NLP) and Deep Learning for Topic Detection, Information Extraction, and Sentiment Analysis. Additionally, content is compared against research conducted in the fields of Forensic, Social, and Linguistic Psychology, with results identified accordingly.

Grooming Detection

After classifications are obtained through conversational analysis, they are run through a series of sequence analysis algorithms and compared against well-established patterns of grooming behavior known to be utilized by child predators. From targeting to trust/rapport building, fulfillment, isolation, sexualization, reciprocity, and control, the turn-based sequence analysis algorithms utilized by PREDETECT are able to detect the moment a conversation hits each step and provides your organization with an indicator of the detected behavior.

Masquerading Detection

Utilizing the latent data contained within messages, as well as comparing the classification data from a single sender across multiple recipients, PREDETECT is often capable of identifying older individuals masquerading as someone younger, which boosts the likelihood of a user being a potential abuser. As the latent data utilized is often subconscious in nature, it is hard to maintain a masquerade long-term or across multiple potential victims.

Don’t take our word for it

What do our users say?

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David BrownVP Operations – The Meet Group

Get in Touch

We are committed to continually improving the PREDETECT service. As such, your feedback and/or questions are most appreciated.

PREDETECT

Detecting Harmful Content

Conversational Analysis

Grooming Detection

Masquerading Detection

What do our users say?

Available For Free

Data Privacy

Photo Detection

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