---
title: "JetStream Announces Verified MCP Governance Layer for Enterprise AI Agents"
id: "3135"
type: "insight"
slug: "jetstream-verified-mcp-governance-layer-for-enterprise-ai-agents"
published_at: "2026-07-13T23:29:13+00:00"
modified_at: "2026-07-16T20:20:02+00:00"
url: "https://jetstream.security/insights/jetstream-verified-mcp-governance-layer-for-enterprise-ai-agents/"
markdown_url: "https://jetstream.security/insights/jetstream-verified-mcp-governance-layer-for-enterprise-ai-agents.md"
excerpt: "JetStream Security announced its Verified MCP and the AI Hub, giving security, risk, and assurance teams one platform to verify server images, control agent permissions, and govern runtime activity. JetStream Security announced capabilities that help enterprises safely adopt third-party Model..."
taxonomy_insight_category:
  - "Product News"
taxonomy_insight_type:
  - "Press Release"
taxonomy_insight_tags:
  - "Agentic AI"
  - "AI Security"
  - "AI Visibility"
  - "Data Privacy"
  - "JetStream Verified MCP"
  - "Runtime Governance"
---

Product News

### JetStream Announces Verified MCP Governance Layer for Enterprise AI Agents

[Agentic AI](https://jetstream.security/insights/insight_tags/agentic-ai/)
[AI Security](https://jetstream.security/insights/insight_tags/ai-security/)
[AI Visibility](https://jetstream.security/insights/insight_tags/ai-visibility/)
[Data Privacy](https://jetstream.security/insights/insight_tags/data-privacy/)
[JetStream Verified MCP](https://jetstream.security/insights/insight_tags/jetstream-verified-mcp/)
[Runtime Governance](https://jetstream.security/insights/insight_tags/runtime-governance/)

JetStream Security

Press Release

##### *JetStream Security announced its Verified MCP and the AI Hub, giving security, risk, and assurance teams one platform to verify server images, control agent permissions, and govern runtime activity.*

JetStream Security announced capabilities that help enterprises safely adopt third-party Model Context Protocol (MCP) servers without introducing unmanaged AI supply chain risk. The effort pairs the JetStream Verified MCP™ catalog with the JetStream AI Hub™, giving security, risk, and assurance teams one place to verify and govern MCP and model traffic through a common control point.

Enterprises are [connecting AI agents to MCP servers faster than security teams can vet them](https://jetstream.security/insights/governing-mcp-sprawl/)
, and many get deployed without approval. Only 17% of organizations are using AI at production scale (UBS Evidence Lab), and the blocker is rarely the technology. It is whether AI agents can be trusted, governed, and audited once they are running. MCP sharpens the question. Enterprises now draw from directories of thousands of third-party servers whose origins are ambiguous, leaving security teams without answers to what the code actually does, what vulnerabilities it introduces, and which actions its tools can perform.

“Enterprises are no longer asking whether AI agents can be useful; they are asking whether they can trust what those agents do once they are connected to the systems that matter. MCP raises the stakes because every server an agent uses is third-party code, wired into tools, data, and workflows. Our customers agree that that’s simply too much uncertainty,” said [AJ Anand](https://jetstream.security/about/)
, Co-Founder and CTO of JetStream. “We built JetStream to be the one platform that governs AI instead of five tools bolted loosely together. JetStream brings certainty to MCP Verification and reduces supply chain risks, tracing every action back to an approved owner and policy.”

The catalog reaches the broad third-party MCP ecosystem alongside more than 100 JetStream Verified MCP images that are analyzed, hardened, and cryptographically attested before an agent can call them. Each image comes from proprietary semantic scanning of data flows and code paths, identifying risks such as credential leakage, Unicode smuggling, and obfuscated malware. JetStream remediates what it finds, records the results as tamper-resistant attestations built on open standards, and preserves provenance with every image. Administrators can also switch individual MCP tools on or off, so each agent gets only the access its workflow requires.

Verification is half the story. The JetStream AI Hub governs runtime. It gives enterprises a unified control point over MCP and large language model traffic, including authentication, authorization, policy enforcement, and content inspection before and after each call. It discovers [shadow MCP servers running outside central oversight](https://jetstream.security/insights/citizen-developer-employees-risk/)
, brings them under governance, and maps approved servers to sanctioned agents through JetStream AI Blueprints™. When an agent’s design, resources, or permissions drift from its approved configuration, JetStream creates a record. It acts as an OAuth-aware governance broker rather than a token passthrough proxy, which keeps access auditable across the agentic-AI ecosystem.

For security leaders, JetStream is a runtime control plane for the MCP supply chain. For risk and governance leaders, it is an auditable record of third-party AI risk.

**AJ Anand puts the point plainly. “A directory of servers you have never inspected is not a control. We analyze the code, remove the vulnerabilities, attest the result, and let the teams control which tools an agent can call. That is what quality and breadth together look like in practice.”**

That is the throughline of everything we build. Governance is not a brake on MCP adoption. It is what lets a team say yes. Knowing what a server’s code does, who approved it, and what it can touch is the difference between an agent you hope is behaving and one you can prove is behaving.

JetStream’s MCP capabilities are available now, with additional servers and endpoint coverage rolling out through the summer. We will demonstrate the JetStream Verified MCP catalog and the AI Hub at Black Hat USA, Booth 4705, from August 3 to 5, 2026, in Las Vegas.

**About JetStream Security**

JetStream Security is the AI governance platform built for enterprises deploying AI at scale. Its JetStream AI Blueprints™ technology provides dynamic, real-time visibility into how AI agents operate, mapping the data they access, the tools they call, the costs they incur, and the identities behind every action. Founded by security industry veterans from CrowdStrike, SentinelOne, Cohesity, and Dazz, JetStream gives organizations the governance layer they need to move AI from experimentation to production with confidence. The company raised $34 million in seed funding led by Redpoint Ventures, with participation from the CrowdStrike Falcon Fund and angels George Kurtz, Assaf Rappaport, and Frederic Kerrest.

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