The AviaTor Project
It is clear that reports of Child Sexual Abuse Material (CSAM) – from industry, the public and NGOs – are labour-intensive to process.
AviaTor, which stands for Augmented Visual Intelligence and Targeted Online Research, is an efficient tool that helps you prioritise all aspects of NCMEC reports so that you can focus on identifying perpetrators and saving victims.
Reduce the time spent by law enforcement agencies with AviaTor. AviaTor was developed for law enforcement with the support from 16 law enforcement agencies across Europe.
Start using AviaTor's automation and intelligence to support your law enforcement's processing, assessment and prioritisation of Child Sexual Abuse Material (CSAM) reports.
There are Law Enforcement Agencies (LEAs) that are currently having to use temporary solutions to classify and prioritise cases of Child Sexual Abuse Material, which is a short term-fix.
AviaTor is the long-term solution that can automatically crawl online sources for additional information for investigations in accordance with the national legal requirements.
The National Police of the Netherlands have been using the first version of the AviaTor tool since December 2019.
Automation & Intelligence forum
Join us on May 26 to learn about the AviaTor project. How a process of development, integration and delivery created an Artificial Intelligence tool that can quickly classify NCMEC reports and deliver key information on cases of Child Sexual Abuse Material.
Hear from Law Enforcement Agencies on the challenges they face and their experience with AviaTor. Combatting Cybercrime is made more efficient and effective using a tool that analyzes and prioritizes NCMEC Reports; offering next level automation for Law Enforcement.
If you are a law enforcement agency representative and are interested in learning more about this project sign-up for a demo. Our technological partners will reach out to you in order to better understand your current landscape of processing CSAM reports.
We want to hear from you!