Open-source AI has sparked a revolution in conversational agents, enabling enterprises to build chatbots that are smarter, faster, and more adaptable than ever before. Yet, with innovation comes risk. Open frameworks can be powerful, but without robust safety measures, they expose organizations to harmful outputs, compliance failures, and unpredictable behavior that can ripple across customer interactions and business operations.

Recognizing this challenge, ActiveFence, the global leader in AI safety and security, has joined forces with Parlant, the open-source engine for building reliable conversational agents. Their strategic partnership aims to increase confidence in open-source AI by bridging the gap between flexibility and security, enabling organizations to deploy chatbots at scale without compromising trust or compliance.

Embedding Safety Into Open-Source AI

Parlant offers an open-source framework that allows developers to exert precise control over chatbot behavior, ensuring agents follow service protocols and business rules. ActiveFence enhances this framework with real-time guardrails, threat intelligence, and continuous red-teaming, which protect against prompt injection attacks, adversarial manipulations, and operational risks, thereby reinforcing trust in open-source AI safety.

The collaboration enables organizations to “build open” while maintaining enterprise-grade security, compliance, and predictability. This approach transforms open-source chatbots from experimental tools into fully production-ready agents capable of handling sensitive workflows in regulated industries.

“As AI becomes more open and accessible, safety must be as scalable as innovation itself,” says Avi Golan, CPO of ActiveFence. “Our partnership with Parlant ensures developers and enterprises can harness the power of open-source while maintaining the highest standards of security, compliance, and trust.”

Closing the Gap Between Compliance and Reliability

While preventing harmful outputs is critical, ensuring agents act in accordance with organizational protocols is equally important. Parlant’s alignment engine addresses this need by enabling chatbots to follow precise service procedures, creating predictable, coherent, and reliable interactions. ActiveFence’s safety infrastructure ensures these agents operate within safe boundaries at all times, directly supporting compliance and operational dependability.

Yam Marcovitz, CEO of Parlant, explains: “Preventing harmful interactions is a crucial part of an AI safety plan, yet there’s another crucial part newcomers often miss. When you train a human agent, you don't just tell them what not to say; you teach them the exact service protocols they should follow. AI agents need the same. Parlant excels at ensuring agents understand and follow your service procedures, while ActiveFence ensures they never cross safety lines while doing so. With this new and exciting partnership, we're closing the circle on AI compliance for the enterprise."

Combining Scale and Precision

ActiveFence protects more than 3 billion users globally, supporting major foundation models with real-time guardrails and harmful content detection across 117+ languages. Parlant, built by industry veterans from Microsoft, EverCompliant, and the Weizmann Institute of Science, offers the Emcie platform, which enables stakeholders to provide real-time feedback and continuously refine agent behavior. Together, the two companies provide a holistic solution that unites open-source flexibility with industrial-grade safety and compliance.

Toward Responsible, Scalable AI Deployment

As enterprises increasingly integrate conversational AI into mission-critical workflows, safety and compliance can no longer be an afterthought. The ActiveFence-Parlant partnership demonstrates that open-source innovation and enterprise-grade security can coexist, setting a new standard for reliable, trustworthy, and compliant AI agents. For organizations seeking to scale chatbots safely, this collaboration offers a practical, production-ready blueprint for responsible AI deployment.