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.
GenAI is evolving faster than the safeguards meant to contain it. From deepfakes to synthetic abuse, the risks are no longer theoretical, and the cost of inaction is rising.Â
In this practical guide, ActiveFence distills frontline insights from working with top AI developers to help enterprise leaders move from principles to practice.Â
Whether you’re scaling LLMs or deploying multimodal agents, this report lays out how to operationalize real-world safety.
In this report, we cover:
Build trust into your AI stack.
Learn how with our practical guide.
Learn how bad actors exploit Agentic AI and discover mitigation strategies.
See why AI safety teams must apply rigorous testing and training with diverse organic and synthetic datasets.
Watch the webinar to explore essential AI safety strategies, including red teaming to identify vulnerabilities, making informed build vs. buy decisions, and leveraging hybrid approaches for scalable solutions.