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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.
Video game footage is increasingly misused as fake war content online, shaping conflict narratives and misleading even mainstream outlets. ActiveFence explains how and why, and how trust & safety teams can respond.
Discover how ActiveFence Guardrails now provides real-time AI safety with low latency, and no-code controls, in secure, scalable AWS enterprise deployments.
Discover what really keeps CISOs up at night from our very own Guy Stern, who shares frontline insights into GenAI risk in 2025, exposing hidden vulnerabilities, internal misuse, and how enterprise security must adapt.
LLMs with RAG bring powerful personalization, but also new security risks. Explore how ActiveFence’s Red Team uncovered ways attackers can exfiltrate secrets from AI memory.
From deepfake investment scams to AI-generated catfishing, GenAI is making impersonation easier and more dangerous. Explore how impersonation abuse works, real-world examples, and what AI teams can do to protect their systems from being misused.
LLM guardrails are being bypassed through roleplay. Learn how these hacks work and what it means for AI safety. Read the full post now.
Expose how disinformation networks exploit crowdsourced fact-checking like Community Notes to push propaganda and suppress truth, and what platforms must do now.
See how the RAISE Act aims to stop AI-enabled crises.
Learn how AI systems misbehave when prompted in one of the most dangerous threat areas: high-risk CBRN. Based on ActiveFence’s internal testing of leading LLMs, the results reveal critical safety gaps that demand serious attention from enterprise developers.