Zapier rolls out controls for enterprise AI governance
Zapier has launched six new AI governance features aimed at enterprises. These include restrictions on actions at the endpoint level, managed app connections limited by domain, and support for bring-your-own models through AWS Bedrock. A queryable audit trail now tracks all activity. Zapier's Agents product is now generally available with these governance options applied. Workspaces, which isolate team environments, will launch later this quarter. The tools apply across the full AI stack without blocking team workflows.
Enterprises previously faced unchecked AI use, with teams connecting apps and models freely, creating shadow IT risks and compliance headaches. IT departments often responded with blanket blocks, stifling innovation while exposing data vulnerabilities. Zapier now enables granular controls that balance security with productivity, letting organisations enforce rules on actions, connections, and models. This shifts the dynamic from prohibition to guided scaling, likely accelerating AI adoption in regulated sectors as audit trails provide proof of oversight.
Analysis
This elevates Zapier from hobby tool to compliance backbone, letting you pitch 'enterprise-grade automations' to SMBs terrified of data fines but too small for big plans. Ditch generic pitches: pick one regulated niche from your ICP research, build a single governed Zapier workflow demo using restrictions and audits, then anchor your next 20 outreaches with it as portfolio proof to land that first $1500 gig.
Citation
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