Three Enterprise Players Just Launched MCP Security — SMBs Need a Simpler Answer
Published: 2026-09-08 on getattest.com.au
This week, three of the biggest names in enterprise security announced products for a problem you may not even know your business has:
- Snowflake launched Cortex AI Gateway at Black Hat 2026 — a centralized gateway for MCP (Model Context Protocol) agent governance, with real-time agent action capture, identity tracking, and audit trails.
- Proofpoint launched its MCP Security Platform — discovery, policy enforcement, content inspection, and transaction forensics for every MCP server across the enterprise.
- Protectt.ai launched a full-stack MCP Security Solution targeting BFSI, with scanning, testing, and proxy layers mapped to OWASP ASI 2026.
That is three enterprise-grade MCP security platforms in a single week. The market signal is unmistakable: MCP security is a real, urgent category.
But here is the problem for small and medium businesses: none of these solutions are built for them.
The Enterprise MCP Security Stack Doesn't Fit SMBs
Snowflake Cortex AI Gateway is designed for organizations that already have data warehouses, SOC teams, and IT departments managing hundreds of MCP servers. The pricing, deployment model, and feature depth are all calibrated for enterprises with seven-figure security budgets.
Proofpoint platform integrates with SIEM systems, OpenTelemetry, and existing security operations workflows — workflows that most SMBs do not have.
Protectt.ai targets banks, financial services, and insurance companies with compliance frameworks that cost millions to implement.
So what does an SMB do?
They are already connecting AI agents to their Google Workspace, their CRM, their email. They are using ChatGPT plugins, Claude Desktop with MCP servers, Cursor with custom tool integrations. They have agents running with OAuth tokens and API keys that nobody at the business has audited.
And they have zero of the governance infrastructure that Snowflake, Proofpoint, and Protectt provide.
The SMB MCP Security Gap
The gap between "I have AI agents doing things" and "I can prove what they did, when, and whether they should have been allowed to" is where most SMBs live today.
Here is what that gap looks like in practice:
No agent inventory
You do not know how many AI agents are connected to your business systems. They authenticate via OAuth tokens that someone granted months ago and never reviewed. They hold standing permissions that accumulate over time. They have their own identities — non-human identities that no one tracks.
No tool-call visibility
When an agent calls a tool — reads a file, queries a database, sends an email — that action happens inside the agent framework. There is no central log. No audit trail. No proof of what happened. If something goes wrong, you have no evidence to reconstruct it.
No policy enforcement
There is no mechanism to say "this agent can read files but not send emails" or "this tool call is only allowed during business hours." Agents run with whatever permissions their creator granted, often with broad access that was appropriate for a prototype and never tightened.
No receipts
When your compliance team asks "what did your AI agent do last Tuesday?" or when a client asks "prove that no personal data was shared with a third-party AI model," you have no receipts. No signed evidence. No hash-chained audit log.
What SMBs Need Instead of Enterprise Platforms
You do not need a $100k AI gateway. You need something that fits the reality of a small business:
1. A lightweight verification layer that sits between your agents and the tools they call, capturing every action. 2. Simple policy rules — not enterprise-grade policy languages, but clear allow/deny rules you can read and understand. 3. Signed receipts — tamper-evident records of what each agent did, that you can produce for clients, auditors, or regulators. 4. Agent identity tracking — knowing which agent made which tool call, when, and under what permissions.
That is the gap Attest capture_mcp product is built to fill. Not enterprise governance at enterprise scale — purpose-built verification for businesses that use AI agents and need to prove they are trustworthy.
The Window Is Opening
The fact that Snowflake, Proofpoint, and Protectt.ai are all launching MCP security products in the same week tells you two things:
1. The market is forming. Enterprise buyers are starting to ask "who can govern my AI agents?" — and that question is going to come to SMBs too, just on a different timeline. 2. Early positioning matters. The companies that solve MCP security for SMBs today will own that category when regulatory pressure hits small businesses the way it is already hitting enterprises.
The question for SMBs is not whether MCP governance will matter. It is whether they will wait until it is forced on them by regulation, a client requirement, or a security incident — or whether they will build the verification layer now.
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This is an Attest blog post. Attest provides purpose-built AI agent verification and governance for businesses that need to prove what their AI agents do — and to whom.