ActiveFence Partners with Databricks to Build Safer, Policy-Aligned AI Agents
Tackling the Risks of AI Agents
As enterprises increasingly adopt generative AI, intelligent agents are becoming central to customer experiences, operations, and digital products. Yet this rapid adoption comes with significant risks, AI agents can behave unpredictably, generate toxic or non-compliant outputs, or be manipulated by adversarial prompts, exposing brands and users to harm.
To address these challenges, ActiveFence has announced a strategic partnership with Databricks, a leader in AI infrastructure and enterprise-scale large language model (LLM) development.
ActiveFence Guardrails Meet Databricks Mosaic AI
The collaboration integrates ActiveFence Guardrails directly into the Databricks Mosaic AI Agent Framework, giving enterprises a powerful way to ensure AI agents operate safely and responsibly at runtime.
With this integration, organizations can:
- Enforce real-time safety and compliance guardrails across every input and output.
- Gain deep visibility into agent behavior.
- Apply custom safeguards aligned with brand policies and values.
“Generative AI is reshaping industries, but enterprises cannot afford to compromise on safety or compliance,” said an ActiveFence spokesperson. “By combining ActiveFence’s protection with Databricks’ robust development framework, we’re making it easier than ever for organizations to innovate with confidence.”
Innovation Without Compromise
The partnership merges Databricks’ enterprise-grade AI development stack with ActiveFence’s safety-first solutions, helping organizations deploy AI agents at scale without sacrificing agility.
“Our joint mission is to help enterprises harness the transformative potential of AI responsibly, ensuring trust, security, and alignment with organizational values,” said [Name, Title] at Databricks.
Developers can explore the partnership in action through a step-by-step technical notebook published on ActiveFence’s Engineering blog.