Companies that have gone down the path of building their own with agent AI, choosing their own models and building their own agent infrastructure on platforms like Amazon Bedrock AgentCore, have had to figure out governance themselves. ServiceNow We are offering them a shortcut. The company said Wednesday AI control tower AgentCore allows you to provide your customers with a single layer to manage the agents they build across AWS, regardless of which model is running underneath.
ServiceNow is also paired AI specialist Work with AWS agents to handle workflows across security, IT operations, and communications, while humans approve critical decisions. Separately, the company is introducing an SDK in Kiro, AWS’s agent IDE, allowing developers to build ServiceNow applications and AI agents without leaving the editor.
“Organizations are no longer experimenting with AI; they are operationalizing AI.” chris grouchsaid AWS Managing Director of Technology Partnerships in a statement. “ServiceNow and AWS provide the architecture to do that, including unified governance, reliable infrastructure, and developer tools to take AI from idea to reality. We’re making it easier than ever to deploy, manage, and scale AI agents across your enterprise.”
ServiceNow’s AI Control Tower Debut at Knowledge 2025 It serves as a single pane of glass for AI agents and models running across your enterprise. Since then, the company has added new capabilities to discover, observe, manage, secure and measure these deployments. For companies building agents on AWS, the Bedrock AgentCore integration provides an integrated product rather than a partial assembly.
According to Joe DavisAccording to ServiceNow’s executive vice president of platform engineering and AI, enterprise customers don’t put all their eggs in one basket and have solutions that span multiple hyperscalers and products. But to really protect all of your organization’s AI assets, it’s important to first take inventory. “Everything needs to be visible to ensure that exposure is contained,” he said in an interview. AI economy. “To do that, it needs to be cross-platform, neutral, and better integrated.”
That’s why ServiceNow has made AI Control Tower extensible and integrated with the Amazon Bedrock API to identify agents created with AgentCore. Once they are discovered, AI Control Tower can begin protecting and managing them.
When it comes to AI specialists, ServiceNow connects them to AI agents in AWS so they can work more closely together. Recognizing that both platforms have limitations in what their tools can do, ServiceNow and AWS have been working on ways to ensure seamless system handoffs to minimize risk and reduce delays so workers can complete their tasks.
“This is kind of an integration of MCP and A2A, where there are parts of the workflow that our AI specialists handle, and then they work with other agent systems, like AgentCore, to maybe… do some of the domain-specific tasks that our AI specialists don’t do,” Davis says.
Here’s how it works: An AWS service detects an issue, ServiceNow’s AI specialists coordinate a response, a human approves the fix, and the workflow ends with a full audit trail. For security, configuration changes in the configuration management database (CMDB) can help ServiceNow’s vulnerability resolution AI specialists AWS Security Agent Run on-demand penetration tests via MCP. This will include identity compromise data from ServiceNow’s Veza and Armis device data prior to remediation.
For IT operations, CloudWatch anomalies are routed to ServiceNow’s AIOps and site reliability engineering specialists, who work with AWS DevOps agents to correlate events and perform remediation.
“It’s kind of a way for people to work together,” Davis explained. “I have some general knowledge, but there are experts in the field that I might want to go to for help. From an AI perspective, it’s kind of the same thing.”
ServiceNow is also introducing an SDK in Kiro, AWS’s agent IDE, allowing developers to vibecode ServiceNow AI agents without switching tools. The company’s SDK with the Build Agent skill is now available for one-click installation from the Kiro Power Marketplace. It promises to enable developers to “scaffold” applications, configure workflows, and create agents. Natural language promptswithout leaving the IDE.
The expanded integration comes as ServiceNow and AWS reveal commercial milestones. Today, customers have completed more than $1 billion in transactions through partnerships on AWS Marketplace. ServiceNow describes this as more important than a “commercial threshold” and sees it as a shift for enterprises to consolidate their infrastructure around the platforms they trust. ServiceNow is positioning the $1 billion as market validation of its theory that organizations prefer layered technology stacks over point solutions and building everything in-house.
Davis emphasized that ServiceNow is focused on delivering turnkey, outcome-oriented solutions: pre-built AI that connects directly to actual enterprise workflows with permissions, security, and governance built-in. Doing it yourself is “very complicated and there are a lot of potential for problems,” he noted.
ServiceNow AI Control Tower with Amazon Bedrock AgentCore is currently available on AWS Marketplace. The company’s Vulnerability Resolution AI Specialist, AIOps AI Specialist, and Site Reliability Engineering AI Specialist integrations are expected to be available later this year. Finally, the ServiceNow SDK for Kiro is now available on the Kiro Power Marketplace.
Disclosure: I attended ServiceNow’s Knowledge 26 as a guest of my company, paying for my flight and hotel stay. AI economy The content of the report is editorially independent from the content of the report. These words are my own.
