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Proactively test GenAI models, agents, and applications before attackers or users do
Deploy generative AI applications and agents in a safe, secure, and scalable way with guardrails.
Proactively identify vulnerabilities through red teaming to produce safe, secure, and reliable models.
ActiveFence’s VP General Counsel shares insights on the UK’s Online Safety Bill, explaining the implications for online platforms.
From the origin of content moderation to seminal geopolitical events, these are some of the pivotal moments that have shaped the trajectory of Trust & Safety.
ActiveFence has just announced that it has completed its acquisition of Spectrum Labs – bringing the market a more mature and robust offering than ever before. Learn what this move means for our clients and the broader Trust & Safety ecosystem.
ActiveFence researchers uncover new incentives and tactics in swatting attacks. Learn more about this phenomenon, and what platforms can do to ensure they are not abused.
For Trust & Safety teams, mitigating and proactively detecting online child marriage requires a specialized understanding of circumvention techniques and socio-religious keywords used to mask this violative activity.
Create secure Generative AI with this AI Safety By Design framework. It provides four key elements to delivering a safe and reliable Gen AI ecosystem.
In the dark corners of the web, predators are communicating to find ways to create CSAM and groom children using generative AI. This research blog explores how they do it, and what platforms can do to stop the abuse.
ActiveFence announces its acquisition of Rewire, an innovator of online safety AI, to expand our automated detection of online harm.
ActiveFence’s Human Exploitation Senior Researcher Maya Lahav examines a rising trend in online behavior involving victims of sickness, poverty, or war who are coerced into recording and soliciting donations. This harmful trend exploits some of the most vulnerable in the global community, monetizing the suffering of those who cannot legally consent.