Configurable safety control for enterprise agent deployment.
Voice agents drift, get manipulated, or go off-brand in production. Guardrails 2.0 adds real-time policy enforcement, prompt injection protection, and custom rules to ElevenAgents. For enterprise teams deploying agents at scale.
Voice agents are moving fast into production. But most teams don't have a way to enforce what their agents should and shouldn't say, especially when users actively try to push past system instructions.
ElevenAgents Guardrails 2.0 is a redesigned safety layer that validates user inputs and agent responses in real time, before anything reaches the end user.
Agents drift in long conversations. System prompts don't hold under pressure. One wrong response in healthcare or banking breaks trust fast. Guardrails 2.0 gives teams three independent enforcement layers: system prompt hardening, user input validation, and agent response validation. Custom Guardrails let you define policies in natural language and enforce them automatically across every call.
What makes it interesting:
🔒 Custom rules run as an independent parallel check, not a filter on the main model
🎯 Pre-built protections for focus, content safety, and prompt injection
⚙️ Execution modes tuned for voice latency tradeoffs
🚪 Configurable exit strategies when a guardrail fires
📋 Conversation history redaction for compliance-sensitive deployments
Built for enterprise teams deploying voice agents in regulated industries: healthcare, banking, and retail.
Note: currently in alpha. Redaction and Zero Retention Mode are enterprise-tier.
If you're moving voice agents from pilot to production, this is the infrastructure layer that makes it viable.
P.S. I hunt the latest and greatest launches in tech, SaaS and AI, follow to be notified →@rohanrecommends
About ElevenAgents Guardrails 2.0 on Product Hunt
“Configurable safety control for enterprise agent deployment.”
ElevenAgents Guardrails 2.0 launched on Product Hunt on April 14th, 2026 and earned 125 upvotes and 4 comments, placing #11 on the daily leaderboard. Voice agents drift, get manipulated, or go off-brand in production. Guardrails 2.0 adds real-time policy enforcement, prompt injection protection, and custom rules to ElevenAgents. For enterprise teams deploying agents at scale.
On the analytics side, ElevenAgents Guardrails 2.0 competes within Sales, Developer Tools and Artificial Intelligence — topics that collectively have 998.9k followers on Product Hunt. The dashboard above tracks how ElevenAgents Guardrails 2.0 performed against the three products that launched closest to it on the same day.
Who hunted ElevenAgents Guardrails 2.0?
ElevenAgents Guardrails 2.0 was hunted by Rohan Chaubey. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of ElevenAgents Guardrails 2.0 including community comment highlights and product details, visit the product overview.
Voice agents are moving fast into production. But most teams don't have a way to enforce what their agents should and shouldn't say, especially when users actively try to push past system instructions.
ElevenAgents Guardrails 2.0 is a redesigned safety layer that validates user inputs and agent responses in real time, before anything reaches the end user.
Agents drift in long conversations. System prompts don't hold under pressure. One wrong response in healthcare or banking breaks trust fast. Guardrails 2.0 gives teams three independent enforcement layers: system prompt hardening, user input validation, and agent response validation. Custom Guardrails let you define policies in natural language and enforce them automatically across every call.
What makes it interesting:
🔒 Custom rules run as an independent parallel check, not a filter on the main model
🎯 Pre-built protections for focus, content safety, and prompt injection
⚙️ Execution modes tuned for voice latency tradeoffs
🚪 Configurable exit strategies when a guardrail fires
📋 Conversation history redaction for compliance-sensitive deployments
Built for enterprise teams deploying voice agents in regulated industries: healthcare, banking, and retail.
Note: currently in alpha. Redaction and Zero Retention Mode are enterprise-tier.
If you're moving voice agents from pilot to production, this is the infrastructure layer that makes it viable.
P.S. I hunt the latest and greatest launches in tech, SaaS and AI, follow to be notified → @rohanrecommends