Introducing Guardrails 2.0 in ElevenAgents. Control how agents behave in production with a redesigned safety layer. You can define and enforce custom business policies. Or, toggle on pre-built protections to keep agents on-topic, on-brand, and resistant to manipulation. Custom Guardrails let you define your most important policies in natural language and enforce them with independent, real-time checks. For example: - A retail assistant should not issue refunds for ineligible items. - A healthcare receptionist should not give medical advice. - A banking agent should not recommend investments. When triggered, you choose what happens: retry the response, escalate to a human, route to another agent, or end the conversation. You can also enable pre-built protections for: - Focus: Keep agents on-topic in complex interactions - Content: Ensure appropriate responses - Manipulation: Protect against prompt injection and bad actors Guardrails 2.0 supports trusted enterprise deployments alongside robust data privacy features, optional conversation history redaction, pre-launch testing, post-deployment monitoring, and access to agent insurance policies backed by AIUC-1 certification.

Guardrails are a core product for voice. For text/chat, safety is important but somewhat forgiving; with voice, the moment you go into live production (phones, contact centers, telephony), safety, control, and auditability become the main thing you’re buying, not a checkbox. Latency‑sensitive validation, suppression of audible mistakes, and post‑call redaction are all voice‑native pain points, and ElevenLabs is packaging Guardrails 2.0 exactly around those: real‑time control for “AI voice agents in production”, backed by AIUC‑1‑based agent insurance that’s explicitly designed for regulated, high‑stakes operations rather than just cool demos.

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Guardrails 2.0 looks like a solid step forward! Ensuring safe, on-brand, and compliant agent behavior is key for enterprise AI deployments.

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As production environments become more automated, the focus shifts from capability to control. Systems that embed clear guardrails and oversight mechanisms will be key to scaling output without introducing inconsistency or risk.

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Hi, Quick note I’m currently in discussions regarding ToVoiceAI.com, a domain strongly aligned with the voice AI space. Given your role, I thought it could be a valuable strategic asset for your product or future expansion. Happy to share more if you’re open to a quick look.

Great to see this — especially the custom policy enforcement and manipulation protection. The conversation layer is where most teams need to start. Excited to see where this goes!

This is great initiative as you can natively implement guardrails, without need to do that in the system prompt

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ElevenLabs continuously smashing it out of the park with updates. Last few months have added some amazing features 👏

This is a good addition. This will cause a significant reduction in prompt size and testing budget.

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This is where AI is heading not just smarter agents, but safer and more controllable ones.

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