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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.
Join ActiveFence at NVIDIA GTC to explore cutting-edge solutions for mitigating AI-generated risks and ensuring responsible AI deployment.
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ActiveFence enhances NVIDIA NeMo Guardrails with real-time risk detection, enabling enterprises to deploy generative AI responsibly and confidently. Learn More.
Hear from our CTO, Iftach Orr, as he shares how to tackle real-time generative AI risks in production. Learn best practices for identifying and mitigating LLM vulnerabilities across the development lifecycle. Add to Calendar
We tested 7 top LLMs against 33 emerging threats in child safety, fraud, and abuseโrevealing critical gaps that could put users, platforms, and businesses at risk.