SureNode

SureNode provides continuous security for AI agent add-ons, including skills, Model Context Protocol (MCP) servers, and plugins. The platform monitors every node throughout the add-on lifecycle, automatically detecting and protecting against changes such as rewritten skills, updated tools, or new dependencies. By integrating security directly into the development workflow, SureNode ensures that evolving AI capabilities remain trusted and protected without requiring separate, manual checks.

Traction 4/10

Sunnyvale, United States · HQ

Founded 2026200+ followers

Cybersecurity
Artificial Intelligence
Software Only

Updated 9 days ago

Funding

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

AI agent add-ons—such as skills, MCP servers, and plugins—expand an agent's capabilities but also expand the attack surface an organization must trust. These add-ons are not static; they are frequently rewritten, updated with new tools, or pull in new dependencies, making one-time security checks insufficient and leaving organizations exposed to evolving risks.

Solution

SureNode provides a continuous security platform specifically for AI agent add-ons, covering skills, MCP servers, and plugins. The platform maintains a live inventory of all connected add-ons, mapping their connections and access. It continuously assesses add-ons before adoption and reassesses them as they evolve, reviewing changes to instructions, code, and dependencies. A proposed policy enforcement layer, called Guard, will allow organizations to define which add-ons agents can use, set boundaries for tools and access, and apply policy across the entire add-on lifecycle. This integrated approach ensures security remains current as the agent ecosystem changes.

Target Audience

Primary customers are organizations deploying AI agents that rely on third-party add-ons, including security teams, platform engineers, and AI infrastructure managers who need to maintain trust and control over evolving agent capabilities.

Features

Unified inventory of all agent add-ons (skills, MCP servers, plugins) with visibility into connections and access
Continuous risk assessment that reviews changes to instructions, code, and dependencies as they occur
Proposed Guard policy enforcement layer for defining add-on usage rules and setting boundaries for tools and access
Lifecycle-based security model that treats every change as a trigger for re-evaluation
Designed for future add-on types beyond current skills, MCP servers, and plugins