The Model Context Protocol did for AI agents what USB did for peripherals: it standardized the connector. Suddenly any model can reach any tool, database, or enterprise system through a common interface, and the friction of wiring an agent into your stack collapsed toward zero. That is a genuine advance. It is also exactly why enterprise security teams are having a bad year.
Snowflake's engineering team put the problem plainly in a recent post on agentic MCP governance: decentralized adoption creates "unmanaged sprawl, fractured user experiences and severe security liabilities, leaving organizations vulnerable to unvetted servers, tool hijacking and data exfiltration." The connector got standardized. The governance did not. And a standard that makes it trivial to connect an agent to a hundred tools, without a corresponding standard for deciding whether any given tool call is allowed, is a force multiplier pointed in the wrong direction.
MCP is a standard for how agents reach tools. It is not a standard for whether they should. Every enterprise now has to supply that second standard itself — and it has to live at the boundary, not inside a hundred servers.
Why MCP changes the security shape
The numbers show a market sprinting into a surface it cannot yet secure. Per figures Snowflake cites, 97% of organizations are pursuing AI while 57% face a significant capacity gap in security and risk management, and AI security concern has jumped from 17% in 2024 to 48% in 2026 (The Linux Foundation). MCP is central to that jump for three structural reasons.
First, MCP collapses three dangerous capabilities into one profile. As Snowflake notes, autonomous agents combine "data access, system execution and data movement into a single profile." A single agent can read sensitive data, execute an action, and move the result somewhere else — the classic exfiltration chain — all through standardized tool calls that look routine.
Second, MCP decentralizes deployment. Anyone can stand up an MCP server; anyone can point an agent at one. That is the point of a standard, and it is also how you get unvetted servers and tool hijacking. The protocol does not care whether the tool on the other end is trustworthy.
Third, MCP makes the tool call the unit of risk. The consequential thing an agent does is no longer "generate text." It is "call this tool, against this system, with these arguments, in this order." That is where the harm lives, and it is precisely the layer most governance programs never instrument, because they were built to review models and policies, not individual tool invocations.
The mistake: governing MCP inside every server
The instinctive response is to secure each MCP server — authentication here, an allowlist there, some logging in each one. It does not scale, and it does not hold. With tool access spread across dozens or hundreds of servers from first- and third-party ecosystems, per-server configuration guarantees drift: a permission set here that no one updated, a server there that skipped the control, an inconsistency an agent (or an attacker steering one) will find. Governance implemented N times is governance that is wrong in at least one place, and one place is enough.
The lesson enterprises are converging on — and the shape of Snowflake's own Cortex AI Gateway answer — is that MCP governance has to be centralized at the boundary: a single point that every tool call passes through, where access is granted, restricted, and audited uniformly, rather than negotiated server by server. The right question is not "is each server locked down" but "is there one place that decides, for every tool call, whether it may proceed — and records that it did."
Not the model. Not the agent. Not the server. The thing you have to permit, deny, or modify — and evidence — is the individual tool invocation: this tool, this system, these arguments, right now.
What "governance at the MCP boundary" requires
Centralizing is necessary but not sufficient; a central choke point that only logs is a faster forensic trail, not a control. Three properties turn the boundary into governance.
| Property | What it means for a tool call | Why MCP needs it |
|---|---|---|
| Pre-execution decision | A verdict — allow, block, or modify — before the tool actually runs | Exfiltration and destructive actions cannot be undone by a log written afterward |
| Bound to the call | Authorization attaches to this tool, this target, these arguments — not a broad "can use tools" grant | A hijacked agent with a broad grant can call anything; a bound decision cannot be talked into a different call |
| Evidenced | A tamper-evident record of which tool was called, which system it touched, in what order, by whom, and whether it was permitted | Forensics and compliance require a trail an auditor can trust without trusting the agent |
Notice that these are decision-and-evidence properties, and they sit alongside — not instead of — the identity and data controls Snowflake also describes (agent identity, restricted session scope, exfiltration detection). Identity answers who the agent is. The boundary decision answers whether this specific action is allowed right now, and the evidence answers prove it. An enterprise deploying agents across MCP needs all three, and the middle one is the one the protocol itself will never provide.
This is where EVE CoreGuard fits the MCP era. It evaluates a proposed action — including a tool call — against a versioned policy before it executes, returns a deterministic allow, block, or modify verdict, fails closed when uncertain, and emits an Ed25519-signed decision certificate that any party can verify offline. Placed at the MCP boundary, it makes the tool call the unit of governance: one place deciding, uniformly, whether each invocation may proceed, and leaving proof that it did. The connector is standardized; this is the standard for whether the connection should carry the action.
The takeaway
MCP is going to win, because standardized connectors always do. That means the sprawl is not a phase to wait out; it is the steady state. The enterprises that operate agents safely at scale will not be the ones that secured each server the hardest. They will be the ones that put a single decision-and-evidence boundary in front of every tool call, so that the answer to "which of your hundred tools can this agent invoke, and can you prove what it did" is a lookup, not an investigation.
The protocol standardized how your agents act. Standardizing who governs those actions is now your job — and it belongs at the boundary.
Frequently Asked Questions
Statistics are attributed to their published sources (The Linux Foundation and others, as cited in the referenced Snowflake post) and reflect those sources as of July 2026; verify current specifics with each publisher. This is independent analysis, not affiliated with or endorsed by Snowflake, the Model Context Protocol project, or any vendor named. EVE CoreGuard capabilities described here are verified from the EVE AI Core production system.