Natoma Blog
Bringing AI Agents into Enterprise Workflows with Natoma and 1Password

Pratyus Patnaik
Company & product
AI agents are quickly becoming part of everyday operations inside enterprises. Teams are using them to monitor systems, triage support tickets, analyze product usage, and automate routine workflows.
But for agents to be truly useful, they need to interact with the same systems employees rely on every day — databases, APIs, SaaS tools, and internal infrastructure.
Connecting agents to those systems can quickly become complicated. Credentials often end up scattered across configuration files, scripts, and internal tools, making it harder for teams to manage connections as agents grow across the organization.
At RSA Conference 2026, we’re excited to demonstrate how Natoma and 1Password simplify this process, making it much easier for organizations to connect AI agents to the tools and data they already use.
The Challenge: The Growing Access Gap
Modern AI agents interact with a wide range of systems:
Databases
Cloud infrastructure
SaaS tools
Internal APIs
Each of these integrations requires credentials. However, many of these systems don’t have traditional user identities. Databases, APIs, and infrastructure services are often accessed using shared credentials such as passwords, tokens, or API keys. This “access gap” becomes even more pronounced as organizations deploy AI agents that need to interact with these systems.
Without a simple way to manage those credentials, teams often end up copying them into configuration files or passing them between tools. As more agents are deployed across teams and environments, keeping track of those connections becomes increasingly difficult.
This is where a password manager becomes especially useful. Instead of storing credentials directly in applications or agent configurations, they can be stored in 1Password and retrieved when needed. This keeps credentials centrally managed by IT while making it easier for teams to manage how agents connect to different systems.
The Solution: Natoma + 1Password
Natoma and 1Password work together to simplify how AI agents connect to enterprise systems. With this integration:
Access to systems is centrally managed in 1Password
Agents retrieve them when needed
Natoma operationalizes that access, brokering how agents interact with external tools
This approach allows teams to connect agents to databases, APIs, and services without embedding credentials directly into code or configuration. The result is a smoother way to deploy and scale AI agents across the organization.nat
Credentials never live inside the agent
Credentials are centrally managed in 1Password
Agent interactions flow through Natoma
As AI agents become more embedded in enterprise workflows, this provides a scalable way to enable access without adding operational complexity.
Industry Perspective
“What’s exciting about partnerships like this is their potential to strengthen the broader ecosystem, not just solve a single access challenge. As AI agents become more embedded in enterprise operations, organizations will need interoperable approaches that bring together credential protection, policy governance, and auditability across platforms.”
- Ravi Chinni, Global Head of IAM, S&P Global
How the Integration Works
The integration uses 1Password vaults and secret references to provide credentials to agents when they need them. The workflow is straightforward:
A user connects their 1Password vault to Natoma
Credentials needed by agents are stored in that vault
When an agent needs access, Natoma retrieves the credential reference
Natoma brokers the interaction between the agent and the target system
Because credentials are retrieved at runtime, teams don’t need to store them inside application code or configuration files.
Scaling Agents Across Teams
As more teams adopt AI agents, the number of system connections grows quickly.
By centralizing credentials in 1Password and managing integrations through Natoma, organizations can scale agent deployments without increasing operational complexity.
Organizations can also define policies that control how agents interact with systems, such as:
Allow read-only database access
Block write operations
Restrict access to sensitive tables
Limit query rates
Scope permissions by agent or user group
This gives teams a clear view of how agents interact with enterprise systems as adoption grows.
Why This Matters
AI agents are becoming core components of modern software operations. But for organizations to adopt them broadly, they need a simple and scalable way to manage how agents access systems and data.
Natoma and 1Password make that possible by simplifying how agents access enterprise tools while keeping credentials centrally managed.
The result: AI agents that are easy to deploy, easy to manage, and ready to operate across the enterprise.
See It Live at RSA Conference
At RSA Conference 2026, we’re demonstrating how organizations can:
Enable AI agent access to enterprise systems using 1Password
Operationalize that access through Natoma
Maintain visibility into agent activity
Deploy agents across workflows more easily
The result is a straightforward path for organizations looking to bring AI agents into everyday operations.


