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Protect your AI applications and agents from attacks, fakes, unauthorized access, and malicious data inputs.
Control your GenAI applications and agents and assure their alignment with their business purpose.
Proactively test GenAI models, agents, and applications before attackers or users do
The only real-time multi-language multimodality technology to ensure your brand safety and alignment with your GenAI applications.
Ensure your app is compliant with changing regulations around the world across industries.
Proactively identify vulnerabilities through red teaming to produce safe, secure, and reliable models.
Detect and prevent malicious prompts, misuse, and data leaks to ensure your conversational AI remains safe, compliant, and trustworthy.
Protect critical AI-powered applications from adversarial attacks, unauthorized access, and model exploitation across environments.
Provide enterprise-wide AI security and governance, enabling teams to innovate safely while meeting internal risk standards.
Safeguard user-facing AI products by blocking harmful content, preserving brand reputation, and maintaining policy compliance.
Secure autonomous agents against malicious instructions, data exfiltration, and regulatory violations across industries.
Ensure hosted AI services are protected from emerging threats, maintaining secure, reliable, and trusted deployments.
This platform connects people through shared experiences and smart recommendations, helping users discover content that truly resonates with them. It also ensures a safe and engaging online environment.
A newly launched social discovery application, focused on helping users find new friends through polls, was planning to launch their services with safety features built in, at the product level.
With a Gen-Z user base, the company aimed to enable full creative expression while keeping illegal and other violative content out. This required precise, automated detection of specific abuse areas, and minimal false positives.
โSafety is key for our young audience, but so is expression - we needed to maximize both.โ
Before approaching ActiveFence, the company did not have a Trust & Safety solution in place. While they wanted to ensure Trust & Safety, they didnโt want to add work to their small development team, and wanted a solution they could easily implement and maintain.
Moreover, without automations, they were reliant on manual moderation to keep users safe, an unscalable solution for a growing platform.
They looked for a solution that would enable their users to feel safe from day one, maximizing moderator productivity with minimal development resources.
By implementing ActiveFenceโs complete Trust & Safety solution, the company was able to launch and scale, with safety built in to many of their product features.
One of their biggest concerns was ensuring that no CSAM, adult content, weapons, drugs, or other illegal content would be present on their systems. This is why they began using ActiveScoreโs contextual AI models. The key differentiator for them was our novel CSAM model, which offers wider protection, beyond hash matching, to identify new child safety risks across images and text. In addition to CSAM, they implemented 11 additional models including adult and illegal content.
50% of spam was removed by actioning just 0.5% of users
To support moderators, they also launched with ActiveFence as their first content moderation solution. Knowing that they would be dealing with a high volume of threats, they immediately focused on setting up automations using Codeless Workflows. Automations allowed them to minimize moderator effort by automatically actioning content and bundling violations at the user level, to identify problematic users, and not just moderate at the content level.
For example, they set up a workflow for a 3-strikes policy, where users who had accumulated 3 individual violations, across abuse areas, were automatically removed from the platform. This was especially helpful in spam and adult content, where just 0.5% of users were responsible for 50% of the content.
Launching the product with safety built in enabled the company to safely grow its user base.
ActiveScoreโs models ensure that their users are safe from high-priority violations, while automations minimize the number of items moderators have to review in order to do so. As a result, the team was able to remove hundreds of illegal posts before they reached users, and without moderator involvement.
By setting up the infrastructure and policies during the product development stage, the platform was able to focus on its own growth and to build features for scale, while ensuring a safe environment for their users.
โWith ActiveFence, weโve found a partner from day one to help safeguard our community.โ
See how dating platforms use ActiveFence to protect users and build safer, trusted communities.
See how Niantic boosts user safety and engagement with ActiveFenceโs cutting-edge technologies.
Discover how Udemy uses ActiveFenceโs solutions to safeguard learners and educators worldwide.