Systemic Risks of MCP protocol Driving a Requirement for a New A2A Protocol

[CyberStrategy1]

🔭 Strategic Pullback: Anthropic's Position, the Bigger Risks, and the Opening for a New Standard

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Anthropic's Stated Position

Anthropic has explicitly documented MCP's trust model in the protocol specification:

"MCP servers should only be added from sources you trust... Users must explicitly approve each new server connection... The security model fundamentally relies on human oversight of which servers are connected."

— Anthropic, MCP Architecture Documentation

This is not a documentation gap. It is their official security position.

The protocol's security model is: trust the human, trust the server they choose, and defer everything else to deployment-layer convention.

The implication is precise. Anthropic has no stated roadmap to add:

• ❌ Cryptographic principal binding
• ❌ Session economics primitives
• ❌ Provenance envelopes
• ❌ Protocol-native kill switches
• ❌ Capability-scoped discovery
• ❌ Topology declaration

These are not planned features. They are deliberate omissions consistent with the protocol's design philosophy of simplicity and developer accessibility.

This is not a criticism of that decision in the context of developer tooling adoption. It is a material fact for any organization deploying MCP in autonomous agentic systems with security, compliance, or operational continuity obligations.

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🔴 The Bigger Risk Picture

The 13 CP.5.MCP controls address the attack surface of MCP as it exists today. The bigger risk is not what MCP allows an attacker to do now. It is what the normalized adoption of a permissive tool execution protocol means as agentic AI systems scale.

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Risk 1: The AI Supply Chain Problem — At Cognitive Scale

Software supply chain attacks compromise what code runs. MCP supply chain attacks compromise what the model thinks and does.

The distinction is material:

Attack Type	What Is Compromised	Detection Signal
Compromised npm package	Executes malicious code	Code signatures, hash verification
Compromised MCP server	Shapes model reasoning, retrieves adversarial content, returns manipulated outputs	None at the protocol layer

The goal is not to replace MCP for developer tooling. MCP is well-suited for that.

The goal is to define what the protocol layer must guarantee for any agentic system that operates with autonomy, handles sensitive data, or has compliance obligations.

That is not what MCP was designed to be. It is exactly what NEXUS must be.

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🎯 The Strategic Position

CSI does not need to build NEXUS tomorrow. CSI needs to:

Step 1 — Own the Gap Analysis ✅ Done

This thread does that. The structural risks are documented in terms the security and compliance communities understand. The compensating control ceiling has been reached.

Step 2 — Define the Requirements

A ratified requirements profile for NEXUS is a publishable artifact with independent value. It is the specification that any protocol designer must satisfy to claim they have addressed the MCP security problem.

Step 3 — Position AI SAFE2 as the Governance Layer

Any new protocol that satisfies the NEXUS requirements still needs a governance framework mapping its properties to compliance obligations.

AI SAFE2 is that framework. NEXUS without AI SAFE2 = a secure wire format. NEXUS with AI SAFE2 = an auditable, compliant, enterprise-ready agentic execution standard.

Step 4 — Establish Timing

The organizations most exposed by MCP's trust model are the organizations most motivated to adopt a credible secure alternative:

Regulated industries → Compliance pressure
Defense / Gov → CMMC, FedRAMP, ITAR requirements
Critical infrastructure → OT/IT convergence with agentic AI
Financial services → DORA, SEC Disclosure

These are the early market. They are also the organizations that give a standard legitimacy.

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📌 Final Position

The architectural gap is real. The timing is right. The governance framework exists.

The only remaining question is whether to lead the standard or document the gap while someone else builds it.

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Cyber Strategy Institute | The Architect | May 2026 AI SAFE2 v3.0 — The governance framework for agentic AI that operates under human authority, not in spite of it.