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Understanding Sonoma

Sonoma gives enterprises a controlled way to connect AI agents to business systems through the Model Context Protocol (MCP). It serves two groups at once: teams that want to put agents to work quickly, and security teams that need to decide what those agents can reach and prove what they did.

Its “Secure Agent Connectivity Platform” covers how agent connections are found, approved, deployed and protected.

At A Glance

VendorSonoma Security, Inc.
CategoryMCP governance and AI agent security
Identities coveredEnterprise AI agents connecting to systems through MCP
DeploymentSelf-hostable
CertificationsSOC 2 Type II, ISO 27001
Market classificationAgentic AI Identity

What Sonoma Does

As MCP spreads, employees connect agents to code repositories, chat tools and customer systems one server at a time, often without security review. Sonoma turns that into a governed process. Builders work only with connections that security has approved, and security keeps control of the rules, the traffic path and the evidence, without slowing the teams that want agents in production. The result is a single place to manage MCP governance across the enterprise, rather than a mix of individual agent configurations.

Products

MCP Enablement

MCP Enablement is the part developers and business teams use when they want an agent connected to a business system without waiting on a custom integration project. A self-service MCP catalogue lists the connections they are allowed to use, a visual workflow builder lets them combine connections into an agent workflow, and a finished workflow deploys in one click.

Governance And Compliance

Security and compliance teams use this area to set the rules, so that letting agents into business systems does not mean losing track of who can do what. Granular entitlement policies define which agents can use which connections and actions, data flow governance rules restrict what information can move between systems, and audit logging records agent activity for review and evidence.

Security Infrastructure

Security Infrastructure protects the connections themselves, which matters because a single compromised MCP server or poisoned input can turn a helpful agent against the systems it serves. It scans the MCP supply chain for vulnerabilities in the servers agents rely on, protects against prompt injection, and enforces policy at a secure gateway that sits in the path of agent traffic.

How It Works

Teams select MCP connections from the catalogue, assemble them in the workflow builder and deploy them, and the security components then sit between agents and the systems they reach.

ComponentWhat it does
Traffic pathAgent requests to MCP-connected systems pass through the secure gateway, where entitlement and data flow policy is applied and the interaction is written to the audit log. Supply chain scanning runs against the MCP servers in that path.
DeploymentThe platform can be self-hosted, and it works with custom MCP implementations as well as existing MCP platforms.

Identities And Systems Covered

AI agentsEnterprise AI agents and their access to MCP-connected systems.
Business applicationsGitHub, Slack, Notion, Salesforce and Jira, reached through MCP.
Custom systemsCustom MCP implementations.
MCP serversThe servers in the agent supply chain, scanned for vulnerabilities.

Integrations

AreaIntegrations
AI models and toolsCursor, OpenAI, Anthropic, MS Copilot, GitHub Copilot
AI cloud platformsAWS Bedrock, Vertex AI
Agent frameworksLangChain, CrewAI, AutoGen, LlamaIndex

Company Background

Legal nameSonoma Security, Inc.
HeadquartersSan Francisco, California, United States.
CertificationsSOC 2 Type II and ISO 27001.

Note: This overview is compiled from Sonoma’s publicly available information as of 4 November 2026. It is provided for information only. NHI Mgmt Group does not endorse any vendor, and nothing on this page represents the opinions of NHI Mgmt Group.

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