See how ActiveFence stacks up against other major security models. Get the benchmark.
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.
The 2025 ActiveFence AI Security Benchmark Report compares six models on prompt injection defense. ActiveFence delivers top F1, precision, and multilingual resilience.
ActiveFence partners with Databricks to integrate Guardrails into the Mosaic AI Agent Framework, helping enterprises deploy safer, policy-aligned AI agents at scale.
At Black Hat 2025, agentic AI took center stage, and so did the risks. From fourth-party threats to hybrid red teaming, here’s what I learned about the next wave of AI security.
Discover how to mitigate evolving threats in autonomous AI systems by securing every agent interaction point with proactive defenses.
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.
Live from NVIDIA GTC 2025 in Paris – Discover how ActiveFence is partnering with NVIDIA to embed safety and security into enterprise AI deployments. Learn how this collaboration enables organizations to launch AI teammates that are safe, trusted, and aligned with business values.
Explore the AI Safety Flywheel from ActiveFence and NVIDIA and see how we keep AI safe at scale.
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.