USA

Interpol, Inspectoratul General AL Politiei, ZiuZ Visual Intelligence, NCIS Norway

Project CPORT is funded by the European Union. It is a 2-year project that started in Jan 2023. The CPORT portal allows law enforcement agencies to access ICCAM – a database used by national hotlines to process and exchange reports of child sexual abuse material (CSAM) submitted by the public worldwide. The ICCAM platform is hosted by INTERPOL and is an important channel into INTERPOL’s international child sexual exploitation database and list of known domains disseminating severe abuse material (IWOL).

ZiuZ Forensic, Web-IQ, Timelex, DFKI, INHOPE

The AviaTor project is funded by the European Union and is currently in its final phase. The project started in 2019 and will end in 2024. The project aimed to build a prioritisation tool / database for law enforcement processing NCMEC reports (also known as industry reports or Cyber tipline referrals). The AviaTor database provides law enforcement with the tooling to prioritise these reports. AviaTor stands for Augmented Visual Intelligence and Targeted Online Research – meaning that the AviaTor database has the functionality to use visual intelligence as well as OSINT and hash matching to de-duplicate and prioritise reports. AviaTor is currently used by 19 national law enforcement agencies.

Rigr AI

Rigr specializes in deceloping custom made applications specifically enabling AI driven management of sensitive data. For further information on available applications, visit website.

Aiba AI

Amanda is a proactive safety platform designed to protect children in social environments by detecting grooming and making accurate profiling of age and gender. Amanda uses key stroke dynamics and metadata from chats to determine the gender and age group of users. By analyzing writing style, Amanda can identify if users are who they claim to be. Amanda also analyzes messages using methods such as stylometry, behavioral patterns, text, and image to continuously assess the risk of the conversation. This analysis results in a continuous risk score that enables real-time prioritization of potentially dangerous conversations.

Amazon

Rekognition Image is an image recognition service that detects objects, scenes, and faces; extracts text; recognizes celebrities; and identifies inappropriate content in images. It also allows you to search and compare faces. Rekognition Image is based on the same deep learning technology developed by Amazon's computer vision scientists to analyze billions of images daily for Prime Photos. This service only requires users to pay for the number of images, or minutes of video, being analyzed and the face data being stored for facial recognition_ There are no minimum fees or upfront commitmenim. Rekognition Video is a video recognition service that extracts motion-based context from stored or live-stream videos and allows them to be analysed. It detects activities; understands the movement of people in frame: and recognizes objects, celebrities, and inappropriate content in videos stored in Amazon S3 and live video streams from Acuity. Rekognition Video also detects persons and tracks them through the video even when their faces are not visible, or as the whole person might go in and out of the scene_ For example r this could be used in an application that sends a real time notification when someone delivers a package to your door. Rekognition Video allows you also to index metadata, like objects, activities, scene, celebrities, and faces to simply video search. With Amazon Rekognition, you only pay for the number of images, or minutes of video, you analyze and the face data you store for facial recognition. There are no minimum fees or upfront commitments.

Belkasoft Evidence Center

Belkasoft Evidence Center is an all-in-one forensic solution for acquiring, locating, extracting, and analyzing digital evidence stored inside computers and mobile devices, RAM and cloud. The tool kit extracts digital evidence from multiple sources by analysing hard drives, drive images, cloud, memory dumps, iOS, Blackberry and Android backups. Graykey, UFED, OFB, Elcomsoft, JTAG md chip-off dumps. Evidence Centre analyses the dat:a source and lays ouc the most forensically important artefacts for an investigator to review.

Access Data Group

FTK is a database driven solution that processes and indexes large amounts of data up-front to allow efficient filtering and searching. Users interact with FTK via a web interface which allows them to conduct computer forensic investigations. The product provides file filtering, search functionality and access to remote systems on the network as well as helps law enforcement, corporate security and IT professionals locate, analyze and evaluate the evidentiary value of files, folders and computers

Access Data Group

Quin-C is a digital investigation software solution that provides a customizable UI to allow advanced data vizualisation, processing and analysis.

Clearview AI

Clearview AI acts as a search engine of publicly available images – now more than ten billion -- to support investigative and identification processes by providing for highly accurate facial recognition across all demographic groups. Similar to other search engines, which pull and compile publicly available data from across the Internet into an easily searchable universe, Clearview AI compiles only publicly available images from across the Internet into a proprietary image database to be used in combination with Clearview AI's facial recognition technology. When a Clearview AI user uploads an image, Clearview AI’s proprietary technology processes the image and returns links to publicly available images that contain faces similar to the person pictured in the uploaded image.

The National Center for Missing & Exploited Children (NCMEC)

NCMEC offer the Law Enforcement Services Portal (LESP) which serves as a resource and access to several resources of NCMEC directly from the field. One feature is the Hash Query section, in which law enforcement officers in the field may query hash values from active investigations against the NCMEC system to learn if NCMEC knows the child depicted to be identified, and/or whether that hash value has been seen at NCMEC before. CRIS is the internal image and video file catalog used by NCMEC's Child Victim Identification Program. This system allows analysts to review and tag files in bulk in support of prosecution efforts, notating which files contain children identified through previous law enforcement investigations.  In addition, this tool assists the analysts in linking files and cases in support of victim identification efforts.

The National Center for Missing & Exploited Children (NCMEC)

NCMEC hosts the NGO hash sharing platform, which includes MD5 and SHA1 hash values, as well as pDNA signatures, of images and videos tagged as Child Sexual Abuse Material by NCMEC, Internet Watch Foundation and the Canadian Centre for Child Protection. These hashes and signatures are made available to ESPs and other industry partners for free, for their use in their voluntary initiatives to detect, report and remove CSAM files on their services and platforms. As part of our Survivor Services program, NCMEC provides an exploitative hash sharing list, which includes MD5 and SHA1 hash values, as well as pDNA signatures, of images and videos tagged as "exploitative" by NCMEC. These files, which not illegal under federal guidelines, depict, support, and/or promote the exploitation of victims that are seen in associated CSAM files. These hashes and signatures are made available to ESPs and other industry partners for use in their voluntary initiatives to detect, report and remove files in support of survivors' privacy and protection. NCMEC hosts the Industry Hash Sharing Platform, which includes MD5 and SHA1 hash values, as well as pDNA signatures, of images and videos tagged as Child Sexual Abuse Material, which is shared by industry themselves. These hashes and signatures are made available by ESP's to other ESPs and other industry partners for use in their voluntary initiatives to detect, report and remove CSAM files. NCMEC's Hash Sharing Platform is the infrastructure and technical system which hosts the NGO CSAM, Industry and NCMEC Exploitative hash lists.  This technical system supports the file information, hashes and signatures, and file tags to allow for these  robust sharing initiatives.

The National Center for Missing & Exploited Children (NCMEC)

NCMEC’s CyberTipline is the nation’s (USA’s) centralized reporting system for the online exploitation of children. The public and electronic service providers can make reports of suspected online enticement of children for sexual acts, child sexual molestation, child sexual abuse material, child sex tourism, child sex trafficking, unsolicited obscene materials sent to a child, misleading domain names, and misleading words or digital images on the internet. Through funding from Facebook, NCMEC offers the Case Management Tool (CMT) for domestic and international law enforcement who receive and investigate CyberTipline reports.  The CMT allows users to triage, query, organize and refer CyberTipline reports within this web-based interface. NCMEC's Law Enforcement Agency Web Services (LEAWS) allows law enforcement around the world access to CyberTipline report data.  This back-end infrastructure allows report data to be ingested by case management tools to allow quicker access, triage and response. NCMEC's ISP Web Services (ISPWS) allows companies around the world report directly to the CyberTipline. This back-end infrastructure allows for easier and automated reporting by companies around the world taking a stand against child sexual exploitation. While companies based in the US are required by law to report to the CyberTipline, any global company may and is welcome to report to the CyberTipline to better protect children and users on their platforms and services. As part of the CyberTipline response process, NCMEC notifies companies and providers when they are hosting CSAM and no suspect or offender is identified. Our analysts use a specialized interface to send notices daily, calling for these providers to remove the content and it includes a follow-up check to ensure the content has in fact been taken down. In 2021, NCMEC sent over 100,000 notices to companies to remove content from their hosting sites.

Videntifier Technologies

Large-scale video identification, which allows searching databases of videos. Videntifier TM Forensic, radically improves the forensic video identification process, by providing law enforcement agencies with a robust, fast and easy-to-use video identification system. Using this ser-vice, a single mouse-click is sufficient to automatically scan an entire storage device and classify all videos.

EOKM and Web-IQ

HashCheckServer is a tool for hosting providers to prevent the uploading of known child sexual exploitation material. To prevent the uploading of known child sexual exploitation material, hosting parties needed to be part of the solution as they provide one of the gateways to publishing CSAM. Based on this knowledge, EOKM took the initiative to help hosting parties to prevent the uploading of known CSAM and to identify existing material on their servers so that it can be deleted. Following this initiative, EOKM asked Web-IQ to develop software that allows hosting parties to check whether an image appears in the police’s database of known CSAM.

Cybertip Canada

Rather than waiting for Project Arachnid to detect material and send a notice, industry can use Shield by Project Arachnid to quickly detect known CSAM on their service, which will, in turn, speed up its removal. Industry members that do not wish to interact directly with Shield by Project Arachnid can register their service/domain with the Canadian Centre to have any notices sent directly to them instead of being sent to their hosting provider. Other industries, such as filtering providers, can download real-time lists of URLs that are believed to currently contain CSAM for filtering purposes.

UK Home Office

CAID is two core databases; one is an image database to support analysing digital images and videos to support investigations. The second is a hash database that provides law enforcement with categorised image and video hashes to support CAID User Orgs when forensically examining evidence on seized devices.

Interpol

Our International Child Sexual Exploitation (ICSE) image and video database is an intelligence and investigative tool, which allows specialized investigators to share data on cases of child sexual abuse. Using image and video comparison software, investigators are instantly able to make connections between victims, abusers and places. The database avoids duplication of effort and saves precious time by letting investigators know whether a series of images has already been discovered or identified in another country, or whether it has similar features to other images. It also allows specialized investigators from more than 64 countries to exchange information and share data with their colleagues across the world. By analysing the digital, visual and audio content of photographs and videos, victim identification experts can retrieve clues, identify any overlap in cases and combine their efforts to locate victims of child sexual abuse.

Swansea University

Tools based on integrating AI/Linguistics that enable law enforcement to spot online grooming content in real-time. The project will impart specialist knowledge through a learning portal and chatbot to strengthen professionals’ abilities to shield children from online grooming.

University of Kent

A culturally sensitive digital "serious" game that educates children about online child sexual exploitation and trafficking, with built-in evaluation and at-source reporting.

Thorn

The programme is developing artificial intelligence classifiers, which are working on automating the detection of CSAM, creating a global standard for labeling, connecting, and organizing the world's data to help identify victims faster.

Tech Matters

Customisable, open-source contact centre platform that allows children and youth to reach out to helplines via voice, SMS, webchat, WhatsApp, and Facebook Messenger if they come across CSAM

Suojellaan Lapsia Ry

ReDirection is a self-help programme that works to prevent the consumption of CSAM on the Dark Web, which builds on the Finnish government’s accredited New Direction rehabilitation programme for sex offenders. The project will also reveal new information about these searchers and their pathways to CSAM access and use by providing targeted support for these individuals.

Project VIC International

By working with local law enforcement, KATALYST will improve forensic and victim identification capabilities, and facilitate collaboration between national law enforcement teams and international partners to ensure the safety of children online.

Population Foundation of India

Equipping adolescents with tools, information, and resources to identify and report online CSEA in India, using an artificially intelligent chatbot.

None in Three (University of Huddersfield)

Working in partnership with the Universidade Estadual de Londrina (UEL) and Promundo, both in Brazil, the team, led by Professor Adele Jones and Professor Patricia Tzortzopoulos, will conduct research into online child sexual exploitation and abuse (CSEA). They will use the findings to develop and evaluate ‘Emilio’, an educational video game targeted specifically at young males considered to be at risk of engaging in online abusive behaviour. The game will aim to head off potential online CSEA at its roots by addressing its underlying drivers among those most amenable to change, the young. Because young people are still developing, it is easier to help them modify their thinking patterns and to make the link between emotion and behaviour; essential for violence prevention.

Internet Watch Foundation (IWF)

An automated device that detects potential offenders and refers them to support (e.g. self-help programmes) through the Lucy Faithfull Foundation.

Interpol

INTERPOL will bring the most advanced technology to investigators of online CSEA through its new DevOps Group Project. The initiative will facilitate research and development by an expert group of investigators, non-governmental organisations, academia, and information technology companies, and extend solutions to specialised officers worldwide via INTERPOL’s secure channels. Headquartered in France, this project has a global reach.

International Association of Internet Hotlines (INHOPE)

The ESCAPE project, funded by End Violence Against Children (EVAC) represents INHOPE's vision to put an eco-system in place ensuring that every industry stakeholder and each member of the public around the globe has the option and awareness to report child sexual abuse material (CSAM) encountered online. Developing automation and intelligence tools for faster classification of CSAM reporting. CSAM will be removed as soon as possible, preventing further circulation and re-victimisation of children.

DeafKidz International

Interactive, accessible digital platform to help deaf children stay safe from online abuse and exploitation. Through educational games, children will learn to protect themselves from online risks, e.g. exploring what an inappropriate chat conversation might look like, the warning signs of abusers.

Child Rescue Coalition

Automating the handling of evidence –including chat logs, data and videos – for live streaming abuse cases. Because mobile applications are often used to share CSAM and groom children, this solution will also help collect data against suspects with a sexual interest in children.

NetClean

NetClean ProTective is a technical solution used to protect business mobile devices by blocking access to URLs known to contain child sexual abuse material (CSAM). The uniquely combined and continually updated URL list, from some of the world’s primary sources, makes it an effective protective solution.

Yoti

Yoti is an identity platform, for identifying yourself digitally, and supports choosing what information to share and verify. For example user's can verify their age online, while not revealing other information about themselves.

Paliscope

YOSE is an AI-driven search engine that lets you instantly track down intelligence within any file type—even from the largest, most unstructured stockpiles of locally stored data.

Krunam

Krunam provides breakthrough technology that identifies and classifies previously unknown CSAM images and video at scale. Our CSAM classifier protects your online community, your employees, your brand’s reputation, and, last but not least, millions of children around the world.

Europol

The Europol Platform for Experts (EPE) is a secure, collaborative web platform for specialists in a variety of law enforcement areas.

Thompson Reuters, Mekong Club

Toolkits is designed to help financial institutions fight human trafficking using data. The Toolkit, tailored for use in the Asia Pacific region, includes a set of ‘red flags’ - potential indicators of modern slavery - linked to suspicious patterns in financial transactions, customer data and behaviour. It also includes contextual information and case studies to widen the financial service sectors’ understanding of this multi-faceted crime.

Stop The Traffik, IBM

STOP THE TRAFFIK and our long-term technology partner, IBM, have created the first ever international data hub to facilitate the sharing of information about human trafficking across all industries and sectors. The Traffik Analysis Hub (TAHub) is a partnership that includes financial institutions, NGOs, law enforcement and government agencies who are all unified by the common goal of sharing data to stop human trafficking. Using advanced cognitive technologies developed by IBM, the TAHub will facilitate the sharing of information quickly and easily and combine multiple data sets in one secure system. IBM has donated a significant grant to make this a reality and will use AI technology to quickly analyse and process volumes of data from a variety of sources; while ensuring its security and integrity.

Global Emancipation Network

Global Emancipation Network is excited to announce the latest counter-trafficking tool in our arsenal: Artemis. We teamed up with our friends at Splunk, Accenture, and Graphistry to produce a first-of-its-kind trafficking content classifier. Artemis is a proactive, automated solution for counter-human trafficking stakeholders to increase efficiency in investigations and disruptions by identifying high-risk establishments, individuals, and content. Our initial pilot focused on the illicit massage industry, categorizing massage businesses based on customer activity, staffing, location, services offered, imagery, and disciplinary actions. Using this data and advanced analytics, we created risk scores and tiers for targeted action.

Global Emancipation Network

Global Emancipation Network grants Minerva access to organizations with valid counter-trafficking missions in order to host and explore millions of trafficking-related data records and use customized search, alerting, geo-location and other platform capabilities. Using Splunk Enterprise and third-party integrated technologies, Minerva protects case-sensitive information and monitors usage patterns to help keep user information private, safe and secure. Leading public, private and nonprofit organizations have already been accepted to the platform as early users. Minerva is equipped with data-processing capabilities to extract and organize information from a variety of data sources. Capabilities include: Advertisement analysis: Analyzes advertisements from the deep and open web, where most trafficking cases originate, and extracts data such as user, location, account and other identifying information. Image processing tools: Processes images of victims to reduce the time users spend analyzing photographs and manually linking them to advertisements. Minerva integrates image analysis tools to tag photographs with characteristics to expedite database search, and reverse image search to identify similar images. Text analysis tools and natural language processing: Extracts text in images from advertisements and flags correlations with missing persons reports and other valuable information. Multi-tenant system informing trend analysis: Allows all Minerva users to store their information securely on the same database at the same time, enabling secure, multi-agency collaboration on shared investigations.

Stop the Traffik

Human trafficking is happening in plain sight all around us. Have you ever seen something that looks out of place? Does uncertainty stop you from speaking up? Every human trafficking story, no matter how long or short, whether current or historic, is important and relevant. It may be the missing piece of the puzzle, contributing to a larger and more accurate picture of human trafficking, which can then inform efforts to combat it. Technology places the power to prevent into the hand of a person who holds a mobile device. The STOP APP can be downloaded by anyone, anywhere in the world who has access to a smartphone. The app is anonymous, confidential and secure – it is available in seven languages and allows you to submit suspicious activity quickly by sending text based messages and uploading photos and videos.

Crisp

Crisp delivers complete intelligence for Trust & Safety and Policy teams on the individuals and groups manipulating social media, video sharing, gaming, dating, review, and other specialty platforms by providing: Crip infiltrates bad actors "from the outside in" across the surface, deep, and dark web to gather intelligence. The AI uses the information to predict what they will do, so platforms have actionable intelligence to prevent child endangerment.

Predpol

PredPol uses a machine-learning algorithm to calculate its predictions on where crimes will occur. Historical event datasets are used to train the algorithm for each new city (ideally 2 to 5 years of data). It then updates the algorithm each day with new events as they are received from the department. This information comes from the agency’s records management system (RMS). PredPol uses ONLY 3 data points – crime type, crime location, and crime date/time – to create its predictions. No personally identifiable information is ever used. No demographic, ethnic or socio-economic information is ever used. This eliminates the possibility for privacy or civil rights violations seen with other intelligence-led policing models.

Eckerd Connect

Using a predictive analytics model that builds assessments after amassing historical data, Eckerd used RSF to identify the children who could only be returned to their parents with a heightened level of scrutiny by caseworkers.

Freedom Signal

Freedom Signal is an online platform to help advocates develop ongoing relationships with through texting. We enable direct service organizations to send targeted text-based outreach to potential victims identified through web scraping. When a potential victim replies, it enables advocates to build trust with vulnerable populations in acute crisis. Freedom Signal’s outreach technology was designed by software engineers and survivors of online sex trafficking to address the specific needs of this population, while ensuring a safe, direct channel of communication.

SafeToNet

SafeToNet is pioneering technology that educates children “in-the-moment” as they use their device. It is a safeguarding assistant that helps them become responsible and safe digital citizens. Its power lies in a smart keyboard that detects risks in real-time. It steers children away from trouble by filtering harmful outgoing messages before they can be sent and any damage can be done. SafeToNet helps prevent sexting, bullying, abuse and aggression.

Thorn

Thorn runs the country’s most extensive online deterrence program, communicating directly with people searching for CSAM, disrupting their sense of anonymity and encouraging them to seek help. By suggesting help resources, we aim to change behavior and increase accountability. We are constantly testing messaging, identifying the best tactics to reach and persuade specific sub-groups, and capturing aggregate data to inform future research.

Two hat

Cease.AI for Law Enforcement helps reduce investigator workloads and reduce mental stress by sorting, flagging and removing non-CSAM, allowing investigators to focus their efforts on new child abuse images. investigators upload case images, run their hash lists to eliminate known material, then let the AI identify, suggest a label, and prioritize images that contain previously uncatalogued CSAM.

Thorn

The Keyword Hub allows technology companies to share search terms used to find child sexual abuse material (CSAM) with other companies allowing all parties to be better at stopping users seeking CSAM.

Thorn

Spotlight is a web-based application that helps law enforcement prioritize leads in their sex trafficking investigations. There are over 150,000 escort ads posted daily; Spotlight takes this massive amount of data and turns it into an asset for law enforcement. To date Spotlight has helped law enforcement identify an average of 8 children per day and has saved up to 60% of critical investigative time.

Thorn

Safer is a child sexual abuse material (CSAM) detection, review, removal and reporting pipeline. It allows small and medium sized companies to have the same CSAM fighting tools as the largest ones.