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.
Want to explore more ActiveFence partnerships?
Inside the partnership bringing real-time, multi-modal synthetic media detection to the heart of GenAI safety infrastructure.
As the threat landscape around generative AI (GenAI) evolves, enterprises are facing a surge in risks stemming from synthetic media. Threat actors are using GenAI tools to create convincing, scalable impersonation and deception schemes. These include voice clones used in social engineering, manipulated images on social platforms, and deepfaked video impersonations targeting executives.
Traditional moderation tools are no longer enough. To keep pace with the speed and sophistication of these attacks, organizations need integrated, multi-layered safety systems that can detect, prevent, and respond in real time. This requires a shift toward safety-by-design frameworks, embedding protection mechanisms directly into GenAI infrastructure from the start, rather than relying on reactive fixes.
To meet this need, ActiveFence has partnered with Reality Defender, whose newly launched API brings broad, accessible deepfake detection across modalities. Combined with ActiveFence’s Real-time Guardrails, the integration delivers seamless, real-time protection against synthetic threats across video, audio, image, and text.
Through this integration, our enterprise customers can extend their safety infrastructure to include deepfake detection as part of their existing Guardrails setup. Here’s how it works:
This is not a stand-alone feature. It is built into the safety infrastructure that powers some of the most trusted GenAI applications in production.
Synthetic media threats are becoming common across online platforms. These threats are now used to scam users, compromise systems, and undermine trust.
This partnership offers enterprise-grade defenses to:
Together, ActiveFence and Reality Defender provide a multi-layered solution that supports detection, moderation, and real-time enforcement.
Synthetic media threats often appear in contexts where authenticity is critical, such as user-submitted documents, identity claims, or financial communications. In this example, a falsified bank statement is flagged in real time by the Guardrails engine using integrated deepfake detection.
This kind of proactive detection is especially valuable for high-risk sectors like finance, where even a single piece of manipulated content can lead to fraud, policy violations, or regulatory exposure.
Here’s how a typical detection event may flow inside a customer’s observability platform deployment:
Reality Defender and ActiveFence are both built on the belief that AI can be powerful and safe, but only when backed by strong, adaptable, and transparent defenses.
By embedding deepfake detection directly into our Guardrails stack, we’re helping enterprises build trust with their users, meet emerging regulatory requirements, and confidently scale GenAI experiences.
We’re thrilled to welcome Reality Defender into our safety ecosystem! (and we’re just getting started…)
To learn more about how to integrate deepfake detection into your GenAI workflows, book a demo with our team.
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About Reality Defender –Â
Reality Defender is a cybersecurity company focused on deepfake detection across text, audio, image, and video. Known for its multi-model detection stack, Reality Defender provides enterprises and public-sector organizations with real-time tools to identify AI-generated content. Their recent API release expands developer access to their detection technology. Learn more at realitydefender.com.
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ActiveFence is partnering with OpenPolicy to shape the future of generative AI safety and security policies. Together, we’re bridging the gap between innovation and regulation, ensuring emerging standards reflect real-world challenges and protect users while enabling responsible AI development.
Learn how ActiveFence red teaming supports Amazon as they launch their newest Nova models.
ActiveFence is expanding its partnership with NVIDIA to bring real-time safety to a new generation of AI agents built with NVIDIA’s Enterprise AI Factory and NIM. Together, we now secure not just prompts and outputs, but full agentic workflows across enterprise environments.