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Real-time visibility, safety, and security for your GenAI-powered agents and applications
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.
Prompt injection, memory attacks, and encoded exploits are just the start. Discover the most common GenAI attack vectors and how red teaming helps stop them.
AI misuse isn’t hypothetical – it’s happening now. This blog introduces ActiveFence’s latest guide for operationalizing AI safety and security with six real-world strategies to move from principle to protection.
Threat actors are exploiting GenAI in the wild. Learn why true AI security must extend beyond infrastructure to detect and prevent real-world misuse.
See how easily multiple GenAI models, from LLMs to speech-to-speech, were tricked into divulging malicious code and weapon design instructions.
A federal judge has ruled that AI-generated content is not protected under free speech laws, expanding legal exposure across the AI ecosystem. What does it mean for AI platforms, infrastructure providers, and the future of GenAI safety?
The Take It Down Act explained: all you need to know about this new federal law targeting AI-generated intimate content, to stay compliant and prepared.
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.
Explore why generative AI continues to reflect harmful stereotypes, the real-world risks of biased systems, and how teams can mitigate them with practical tools and strategies.
Innovation without safety can backfire. This blog breaks down how to build GenAI systems that are not only powerful, but also secure, nuanced, and truly responsible. Learn how to move from principles to practice with red-teaming, adaptive guardrails, and real-world safeguards.
See why AI safety teams must apply rigorous testing and training with diverse organic and synthetic datasets.
Discover principles followed by the most effective red teaming frameworks.
Learn how ActiveFence red teaming supports Amazon as they launch their newest Nova models.
Explore the primary security risks associated with Agentic AI and strategies for effective mitigation.
Dive into why deep threat expertise on GenAI red teams is increasingly important.
ActiveFence provides cutting-edge AI Content Safety solutions, specifically designed for LLM-powered applications. By integrating with NVIDIA NeMo Guardrails, we’re making AI safety more accessible to businesses of all sizes.
AI-generated misinformation is spreading faster than ever. How can companies handle this threat during world events like the 2024 Paris Olympics?
Over the past year, we’ve learned a lot about GenAI risks, including bad actor tactics, foundation model loopholes, and how their convergence allows harmful content creation and distribution – at scale. Here are the top GenAI risks we are concerned with in 2024.
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.
Artificial intelligence represents the next great challenge for Trust & Safety teams to wrangle with.
California’s recently passed child safety act places new obligations on online platforms. Here, General Counsel Michal Brand-Gold shares what you need to know.
ActiveFence and INHOPE partner to fight the spread of CSAM online and promote the mental wellbeing of digital first responders.