Secure MCP Infrastructure for AI Agent Governance

Sonoma Security builds a governance and security platform designed specifically for MCP (Model Context Protocol) ecosystems, an emerging layer of infrastructure that connects AI agents to tools, data, and operational workflows. As organizations begin deploying AI agents into production environments, Sonoma provides the oversight, access control, and security hardening needed to prevent unauthorized actions, data leakage, and operational misuse.

The platform combines an MCP gateway with a full governance stack that includes entitlement management, workflow orchestration, and detailed auditability. Non-technical

teams can use Sonoma’s visual builder to construct multi-step MCP workflows, while security teams enforce granular policies that govern what each agent is allowed to invoke, which data sources it can access, and what guardrails must be applied. Every agent interaction is logged and traceable, giving enterprises full visibility into data flows, tool usage, and execution paths.

Sonoma also layers in protocol-aware defenses that traditional security tools miss. protecting MCP servers against prompt injection, unauthorized token usage, and supply chain vulnerabilities in agent toolchains. Its gateway centralizes rate-limiting, RBAC, API compliance checks, and security headers, ensuring that MCP services can be deployed in production with confidence.

Designed for companies adopting agent-driven automation across finance, healthcare, retail, and operations teams, Sonoma positions itself as the missing governance layer that makes AI agent infrastructure operationally safe, compliant, and enterprise-ready.