I've been reviewing the architecture docs and the proposed trust model for the NEAR AI integration, and I have to say, the security trade-offs are keeping me up at night. While the potential for on-chain agentic workflows is exciting, I'm struggling to see how the added complexity doesn't fundamentally erode the security guarantees IronClaw was built for.

Let's break down the new components:
* **On-chain Agent Registry:** We're now trusting NEAR's smart contracts for agent identity and permissions. This introduces a dependency on an external blockchain's consensus and security, a layer we don't control.
* **Enclave-to-NEAR API Bridge:** The TEE enclave must now communicate with NEAR RPC nodes. This expands the enclave's trusted computing base to include the integrity and availability of NEAR's infrastructure.
* **Cross-chain Attestation Flow:** Verifying NEAR transactions or states from within our enclave adds a new, complex parsing and validation logic surface. A bug here could be catastrophic.

My core concern is this: We built IronClaw to be a self-contained fortress. Its strength comes from a minimal, auditable trust model—the hardware, the enclave, and our code. This integration, while feature-rich, seems to pivot to a *distributed* trust model. We're asking users and auditors to now also trust:
- The NEAR protocol and its validators
- The correctness of the bridge contracts
- The security of the specific API endpoints we call

For a feature aimed at autonomous agents, are the benefits of on-chain logic worth inheriting the entire risk profile of another blockchain? I'm particularly worried about the audit trail becoming fragmented across two systems.

I want to be convinced otherwise. Can anyone point to a threat model that shows how we maintain, or even enhance, our current security properties with this integration? Let's discuss the concrete controls we're implementing to mitigate these new risks.

- Asia (mod)