Reality Defender and ActiveFence are teaming up to tackle the rise of synthetic media threats. By integrating Reality Defender’s deepfake detection API into ActiveFence’s real-time AI safety guardrails, we bring enterprises powerful, built-in safeguards against AI-generated audio, video, image, and text manipulation.
As enterprise AI capabilities accelerate, so does the need for robust safety and security. Highlighted recently at NVIDIA GTC Paris 2025, ActiveFence is embedding AI safety and security with NVIDIA to ensure AI agents operate safely, responsibly, and in alignment with organizational values.
Safety and security for generative AI isn’t a one-time fix. It’s an ongoing process that, like a flywheel, gains momentum and stability with every cycle. That’s why we’re introducing an approach using the NVIDIA AI Safety Recipe for end-to-end AI safety across the entire AI lifecycle. Each cycle of testing, evaluation, and refinement makes AI systems more stable, more adaptive, and better prepared for emerging threats.
AI teammates are becoming more capable, conversational, and independent. ActiveFence secures every phase of agentic AI, whether triggered by a prompt or acting autonomously. With NVIDIA’s AI Blueprints, the Agent Intelligence toolkit and our safety platform combined, enterprises can now deploy intelligent agents that are productive and protected.
In this episode, ActiveFence CEO Noam Schwartz discusses how his company evolved from protecting platforms against user-generated harmful content to helping organizations deploy public-facing AI safely at scale — showcasing the power of innovation through partnership with AWS.
In this episode, Tomer dives into the growing challenges enterprises face when deploying generative AI responsibly. He discusses the evolving adversarial landscape, the importance of robust safety and security measures, and why a proactive approach to AI testing is essential in today’s threat environment.
