AI agents are popping up everywhere inside modern companies. Sales has them. Marketing has them. Developers are wiring them into APIs and cloud services. And in many cases, leadership has only a vague idea of which ones are legitimate and which ones might be… questionable.
That is the backdrop for the latest move from GoDaddy.
The company announced that its Agent Name Service, or ANS, is now integrated with MuleSoft Agent Fabric from Salesforce. The pitch is simple: give organizations a way to discover AI agents and verify who is behind them before those agents start touching sensitive systems and data.
Because let’s be honest. “Trust me, I’m an AI agent” is not a great security model.
As businesses roll out more agentic AI across teams and platforms, many lack a consistent way to confirm where an agent originated, who published it, and whether it is actually approved by the business. That leaves companies stuck between two bad options: slow down AI adoption to manage risk, or move fast and hope nothing goes sideways.
GoDaddy’s ANS tries to thread that needle.
The service extends the Domain Name System into the AI world. Yes, the same DNS that quietly makes the internet work. When an AI agent is registered with ANS, it is tied to a verified domain name and published to the public DNS. That makes it globally discoverable in seconds, using standard DNS queries. No proprietary registry required. No special client software needed.
It is a very internet-native approach to a very modern problem.
With the integration in place, MuleSoft customers can configure GoDaddy ANS as a trusted source for agent discovery. MuleSoft’s Agent Scanners then pull verified agents from ANS into the MuleSoft Agent Registry. From there, teams can review and approve agents before granting them access to enterprise systems.
Administrators can see verification status and publisher details, click through to cryptographic proof of identity, and define policies that determine which APIs and data an agent can access. In practical terms, that means fewer mystery bots wandering through corporate infrastructure.
Travis Muhlestein, chief technology officer of product and AI at GoDaddy, said the “agentic ecosystem on the open internet is exploding,” and that trust and identity need to keep pace. He explained that the integration allows organizations to verify the identity of AI agents so they can scale adoption with stronger confidence and accountability.
Andrew Comstock, SVP and GM of MuleSoft at Salesforce, framed it around open ecosystems. He said customers need a way to safely discover and govern AI agents regardless of where they originated. By integrating GoDaddy’s ANS with MuleSoft Agent Fabric, he described the result as a “digital passport” that helps manage agent sprawl and ensure each agent in a company’s catalog is authenticated and trustworthy.
Underneath the marketing language, there is a real issue being addressed.
The first phase of enterprise AI was about capability. What can the model do? How fast can we deploy it? How many workflows can we automate? Now the conversation is shifting toward control. Who built this agent? Who owns it? What happens if a spoofed or rogue agent gains access to financial data or internal systems?
If AI agents are going to interact with APIs, customer records, and backend infrastructure at scale, identity has to be baked in from the start. GoDaddy is betting that DNS, the old plumbing of the internet, can double as the identity layer for this new wave of software entities.
