[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?

2 Likes
Risk Stewards: USDe Supply Cap Increase on Aave V3 MegaETH / 2026.05.03
[Discussion] Post-rsETH Post-Mortem: Evolving Our Risk Framework & Prioritizing Security Over TVL
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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

1 Like
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First, thank you @robtg4 for responding. I was thinking, “Maybe this wasn’t a good idea :smiling_face_with_tear:” so thank you for the confidence boost.

And yes, this was made with your proposal in mind. I was going to comment under it, but I didn’t want it lost in a sea of comments.

I think you hit the nail on the head with the “labels vs. walls” analogy. It’s the correct (and amusing) way to look at it. If your scoring system is the diagnostic tool, then the silo architecture is the quarantine ward.

We can contact each other on a unified framework. It feels like the natural next step. Especially with Aave V4’s modular design already leaning toward this kind of isolation anyways.

A few thoughts on how we can bridge these:

  • The Intake Engine: We can use your 7-Factor Score as the “automatic gatekeeper.” Assets that score in Tiers 1 and 2 stay in the Core Pool to keep that deep liquidity we all love, but anything hitting Tier 3 gets pushed into an Isolated Spoke. This way, we aren’t guessing which assets need walls, because the math tells us.
  • Revenue vs. Sanity: You’re right that the $7–15M revenue “haircut” being a drop in the bucket compared to an $8B TVL wipeout. But I’d actually argue that this isn’t necessarily a cost, it’s just the protocol finally charging the correct “risk premium.” So I’m proposing that we’re moving away from fake efficiency toward sustainable growth.
  • L1/L2 Decoupling: One of the big “social” wins here is treating L2 versions of an asset as their own thing. If a bridge breaks, we shouldn’t be liquidating the L1 holders who did everything right. Your framework gives us the technical justification to keep those oracles separate.

But yeah, let’s look into a joint proposal. Combining your “which tier?” with “what happens when a tier breaks?” gives the DAO a complete playbook instead of just a warning sign.

I’m happy to loop in @LlamaRisk and @AaveLabs to see how we can map this onto the current V4 roadmap. If we can turn the “Risk Firewall” into a standard feature, we’re basically making Aave exploit-proof (or at least contagion-proof).

What do you think is the best way to kick off the technical side of this?

1 Like
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We would need to outline an architecture that has been theoretically battle-tested - how the contracts should be set up, the operational maths applied, milestones for implementation if supported, etc. → That would need to be submitted for a [TEMP CHECK] then we’d likely go from there.

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Is there a platform you want to move to in order to have a more direct and private discussion?

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The strongest part of this Temp Check, in my view, is that it openly calls out unified liquidity as a "suicide pact for a protocol of Aave’s scale, and then backs that up with a concrete firewall model (tier-based silos + tier-specific safety modules + L1/L2 oracle decoupling) that localizes losses instead of socializing them across Tier 1. This is exactly the kind of structural change that could have materially limited the blast radius of the rsETH incident, rather than just tweaking parameters after the fact.
governance. @litostarr

1 Like
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I’m happy to see Aave grow, but I don’t want to pay for a neighbor’s house fire just because we both live on the same block. If a chain is small and experimental, it stays in the Sandbox until it grows up.

  1. The Sandbox (Level 1): New chains like MegaETH or Soneium. They are 100% on their own. If they break, only the people on those chains lose money. No “socialized” loss for the rest of us.

  2. The Commuters (Level 2): Proven chains like Base or Arbitrum. They’ve been around long enough to earn a bit of shared trust, but they still have “firewalls” so they can’t crash the whole protocol.

  3. The Vault (Level 3): Ethereum Mainnet

Let’s let the kids play in the sandbox until they learn not to eat the literal (and financial) sand :upside_down_face:

1 Like
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This is a very clear way to operationalize the “unified liquidity is a suicide pact” intuition. A tiered Sandbox → Commuters → Vault model makes the risk socialization boundaries explicit and would have materially reduced the blast radius of rsETH‑type incidents by localizing losses instead of pushing them onto Tier 1 users… @litostarr

1 Like