Zapier introduces AI Guardrails, built-in safety checks that detect PII, prompt injections, jailbreaks, toxicity, and sentiment directly inside automated workflows. The new feature helps teams enforce AI policies in real time before outputs reach CRMs, databases, or customer inboxes.
Quick Intel
Zapier, the leading AI orchestration platform, today announced “AI Guardrails by Zapier”, a set of builder-added safety checks that run directly inside automated workflows. AI Guardrails lets teams detect personally identifiable information (PII), identify prompt injection attempts, and flag toxic or harmful content before AI outputs ever touch a CRM, database, or customer inbox.
As companies push AI deeper into daily operations, the gap between "we use AI" and "we trust our AI outputs" keeps getting wider. Most organizations have AI policies on paper. What they don't have is a way to enforce those policies right where the work happens. AI Guardrails closes that gap by embedding real-time safety checks directly into Zaps, Agents, and MCP-connected tools.
"Every company using AI in production has the same question: how do we know the outputs are clean before they hit our systems?" said Brandon Sammut, Chief People & AI Transformation Officer. "AI Guardrails gives teams an actual enforcement layer, not a policy document sitting in a shared drive somewhere. It runs inline, in production, on every single workflow that needs it."
AI Guardrails allows you to add a safety step directly into any workflow. After an AI model generates output, the guardrail checks it against the selected detection type and returns structured results. From there, teams can use paths and filters to route, block, or escalate, all without writing code. Current capabilities include:
AI Guardrails works across Zapier's platform. In Zaps, teams add a guardrail step after any AI action. In Agents, it functions as a tool the Agent is instructed to use before acting on AI output. And through MCP, AI clients like Cursor and Claude can call guardrail actions directly.
AI Guardrails represents a unique capability in the automation space. While other platforms rely on documentation and manual review processes to manage AI safety, Zapier offers inline, automated safety checks that run as part of the workflow itself. Every check returns structured output, making it straightforward to build conditional logic around safety results without any custom code.
"The conversation around AI safety usually stops at 'we wrote a policy,'" said Sammut. "What teams actually need is something that runs in the background and catches problems before they become incidents. That's what this does."
AI Guardrails by Zapier is available now. Teams can add AI Guardrails as a step in any Zap, select a detection type, and use the results to control what happens next. To get started, visit zapier.com/apps/ai-guardrails-by-zapier.
About Zapier
Zapier is an AI orchestration platform that connects 8,000+ apps to help companies automate workflows and improve productivity. Since 2012, millions of users have trusted Zapier to automate everything from lead routing and data synchronization to customer conversations, all without writing code. By turning complex integrations into simple, point-and-click workflows, Zapier empowers teams of all sizes to focus on strategic work. From startups to Fortune 500 companies, organizations worldwide trust Zapier to streamline operations, reduce errors, and accelerate growth through intelligent automation.
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