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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.
Explore the AI Safety Flywheel from ActiveFence and NVIDIA and see how we keep AI safe at scale.
Discover how cybercriminals are turning the Flutter development framework into an attack vector, fueling a new wave of stealthy mobile malware.
Learn how enterprises can stay ahead of emerging GenAI regulations like the EU AI Act and NIST Framework, with actionable steps for compliance, safety, and responsible deployment.
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.
The EU has formally sanctioned key players behind Russia’s coordinated disinformation ecosystem. These campaigns, long monitored by ActiveFence, reveal a complex strategy built on narrative laundering, infrastructure resilience, and long-term influence.
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?