[TEMP CHECK] Risk Firewalls: Tier-Based Isolation & Liquidity Silos

Governance
1

Author: @litostarr
Status: Temp Check
Tags: @stani, @AaveLabs, @LlamaRisk

Summary

The recent rsETH incident highlighted a systemic vulnerability in the current Aave architecture: Contagion Risk. When liquidity is unified, the failure of a single experimental or multi-wrapped asset can socialize losses across the entire protocol, threatening the solvency of even the safest Tier 1 positions.

I propose a “Risk Firewall” architecture that builds upon the proposed Asset Safety Tiers. This involves moving away from a global liquidity pool toward compartmentalized silos, tier-specific insurance tranches, and a technical decoupling of L1 and L2 assets to ensure that a crisis in one tier remains isolated.

The Problem: The “Suicide Pact” of Unified Liquidity

In the current model, Aave operates as a massive, singular pool. While this maximizes capital efficiency, it creates a “suicide pact” where a bad debt event in a Tier 4 asset (like bridged wrsETH) can drain the reserves of Tier 1 assets (like USDC or ETH).

Furthermore, the “social” contagion between L1 and L2 is currently unmanaged. A bridge hack on an L2 version of an asset often triggers a panic sell on the L1 version, even if the L1 contract is perfectly secure.

Proposed Framework: The Risk Firewall

1. Compartmentalized Liquidity (Siloing)

The protocol should transition from a “Global Liquidity” model to Isolated Market Silos based on Asset Tiers.

  • Mechanism: Each Tier (or high-risk sub-group) operates in its own lending market with specific collateral and borrowable assets.

  • Logic: If a Tier 3 asset experiences a liquidity crunch or oracle failure, the resulting bad debt is physically trapped within that silo.

  • Result: This prevents a “bank run” on the core protocol triggered by a failure in a secondary or experimental asset class.

2. Tier-Specific Safety Modules (Tiered Defense)

Assets should support one another through a tiered defense fund rather than a global liability.

  • The Tranche System: Revenue generated from Tier 3 (high-risk, high-LTV) should primarily fund a Tier 3-specific insurance fund.

  • The “Lender of Last Resort”: Tier 1 revenue would only act as a backstop for other tiers under extreme, pre-defined conditions with strict limits. This ensures Tier 1 users are not the primary insurers for Tier 3 risks.

3. Breaking L1/L2 Social Contagion

We must formalize the technical disconnect between L1 and L2 versions of the same asset.

  • Decoupled Oracles: By utilizing independent oracle feeds for L1 and L2 versions, we ensure a price collapse on a bridged L2 (due to a bridge exploit) does not mechanically trigger liquidations for L1 holders.

  • Surgical Risk Disconnect: Treating the L2 version as a derivative rather than a mirror protects the “L1 Anchor” during periods of bridge volatility or social panic.

The Trade-Off: Safety vs. Efficiency

Implementing these firewalls requires a shift in our philosophy regarding capital efficiency. Lowering LTVs and siloing assets will reduce the maximum theoretical leverage for “looping” strategies.

For a Tier 3 asset with an LTV reduced to 68%, the maximum leverage L is calculated as follows:

L = \\frac{1}{1 - LTV}
L = \\frac{1}{1 - 0.68} \\approx 3.125

This is a significant reduction from the 14x+ leverage possible at a 93% LTV, but it creates a robust buffer against depegs and bridge failures.

Comparison of Philosophies

Feature Unified Architecture (Current) Risk Firewall Architecture (Proposed)
Primary Goal Maximize TVL / Utility Protocol Solvency / Stability
Loss Handling Socialized (All users exposed) Siloed (Contained to specific Tier)
Systemic Risk High (Contagion is likely) Low (Contagion is mechanically blocked)
Capital Utility High (Any asset covers any loan) Controlled (Risk-adjusted utility)

Conclusion

Aave’s greatest strength should be its resilience, not just its size. By implementing Risk Firewalls, we transform the protocol into a series of secure compartments. If one part of the ship takes on water, the rest remains afloat. This is the necessary evolution for Aave to safely manage the next trillion dollars of on-chain value.

I invite the community to discuss: How should the DAO balance the potential revenue loss from reduced looping capacity against the long-term solvency benefits of asset siloing?

1 Like
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@litostarr — This is a well-structured architectural complement to the collateral-tier framework I proposed two days ago. The two proposals address different layers of the same problem, and I think they’re stronger together.

The distinction as I see it:

My proposal defines how assets get classified — a seven-factor scoring system (redemption posture, rehypothecation depth, bridge hops, regulatory posture, oracle fragility, volatility, liquidity depth) that produces a deterministic tier assignment and maps each tier to LTV/LT ceilings. It answers: “What risk tier is this asset, and what parameters should it receive?”

Your proposal defines how the protocol contains damage when a tier fails — siloed liquidity pools, tier-specific safety modules, and decoupled L1/L2 oracle feeds. It answers: “Once we know the tiers, how do we ensure a Tier 3 failure doesn’t propagate to Tier 1?”

Siloing without scoring is compartments without labels. Scoring without siloing is labels without walls. Both are incomplete in isolation.

To make this concrete: under my framework, wrsETH (L2 bridged) scores 12/14 — Tier 4, ineligible. The rsETH L1 native scores 9/14 — upper-bound Tier 3. Your silo architecture would have physically trapped the $123.7M–$230.1M in bad debt within the Tier 3/4 compartment instead of exposing USDC and ETH depositors in the unified pool. My framework would have prevented the 93% LTV listing in the first place. Applied together, you get defense in depth: the scoring prevents the miscalibration; the silo contains the residual risk.

One gap I’d flag: your proposal references “Asset Safety Tiers” but doesn’t specify a classification methodology. Without a deterministic scoring system, the question of which silo an asset lands in becomes a governance judgment call — exactly the kind of subjective process that listed wrsETH at 93% LTV across 11 deployments. The seven-factor score I proposed (or an equivalent from @LlamaRisk) would give your silo architecture the objective intake criteria it needs.

On the revenue trade-off question you pose: I ran the numbers in my proposal using ACI’s own retrospective data. The interim LTV cuts I proposed (10–13 point reductions on Tier 3 LRTs) imply a ~$7–15M/year revenue haircut against $145M in 2025 protocol revenue — call it 5–10%. Your siloing would add friction on top of that by fragmenting liquidity. But one incident just destroyed $8.45B in TVL in 48 hours. The combined revenue cost of both proposals is a rounding error against the realized loss.

I’d be interested in working together on a unified framework — my scoring as the classification layer feeding into your containment architecture. If @LlamaRisk and @AaveLabs are open to it, a joint proposal that covers both “which tier?” and “what happens when a tier breaks?” would be a more complete answer than either proposal alone.

-– Robby Greenfield IV | Tokédex