CoSupport AI
What is Safer.io?
Safer.io provides specialized solutions designed to enhance trust and safety on digital platforms by proactively detecting child sexual abuse material (CSAM) and child sexual exploitation (CSE). Developed by experts in child safety technology, the platform leverages predictive AI and machine learning models trained on trusted data sources, including the NCMEC CyberTipline. Safer.io addresses the complexities of online safety, considering privacy requirements and the evolving tactics used by malicious actors.
The service offers flexible deployment options, including a self-hosted model that limits data sharing and a secure API-based alternative, allowing platforms to integrate robust detection capabilities while maintaining a privacy-forward approach. It focuses on identifying known and novel CSAM, instances of child sexual exploitation, and sextortion attempts, thereby helping organizations safeguard their users and brand reputation against misuse.
The service offers flexible deployment options, including a self-hosted model that limits data sharing and a secure API-based alternative, allowing platforms to integrate robust detection capabilities while maintaining a privacy-forward approach. It focuses on identifying known and novel CSAM, instances of child sexual exploitation, and sextortion attempts, thereby helping organizations safeguard their users and brand reputation against misuse.
Features
- Known CSAM Detection: Identifies previously documented child sexual abuse material.
- Novel CSAM Detection: Uses advanced techniques like perceptual hashing to find new instances of CSAM.
- Child Sexual Exploitation (CSE) Detection: Identifies content and behaviors related to the exploitation of children.
- Sextortion Detection: Detects conversations and content indicative of sextortion attempts.
- Predictive AI Models: Utilizes machine learning trained on trusted data sources for proactive threat identification.
- Privacy-Forward Deployment: Offers self-hosted and secure API options to minimize data sharing.
- Expert-Backed Solutions: Developed based on original research and expertise in child safety.
Use Cases
- Enhancing content moderation processes for online platforms.
- Protecting users, especially minors, from online exploitation and abuse.
- Mitigating legal and reputational risks associated with harmful content.
- Improving the efficiency of trust and safety teams in identifying high-risk content.
- Implementing privacy-conscious safety measures on social media, forums, and other platforms.
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