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Blog

Why Interchain Security Models Rely on Shared Liquidity Pools

Cross-chain security is not a consensus problem; it's a capital efficiency problem. This analysis argues that shared protocol-owned liquidity is the critical economic backstop for frameworks like Cosmos Interchain Security, transforming idle TVL into active slashing collateral.

introduction
THE LIQUIDITY ANCHOR

Introduction

Interchain security is not a consensus problem; it is an economic problem solved by shared liquidity pools.

Security is economic finality. A bridge's security is the cost required to corrupt its state. Pure messaging bridges like LayerZero rely on external oracles and relayers, creating fragmented trust assumptions. Shared liquidity pools, as used by Across and Stargate, anchor security to the economic value of the locked capital, creating a unified, quantifiable security budget.

Liquidity pools amortize risk. A validator-based model secures each chain in isolation, forcing users to trust multiple, uncoordinated validator sets. A shared security pool aggregates risk across all connected chains, allowing a single, larger capital base to backstop the entire network. This creates a stronger, more capital-efficient security guarantee than isolated models.

The market validates this model. Protocols using pooled liquidity, like Circle's CCTP for USDC, dominate volume because they offer stronger settlement guarantees. The Total Value Secured (TVS) of a liquidity pool directly correlates with its attack cost, making security legible and tradable. This is the core innovation behind intent-based architectures like UniswapX and CowSwap.

thesis-statement
THE ECONOMIC PRIMITIVE

The Core Argument: Security is a Function of Liquid Capital at Risk

Interchain security is not about validators; it is about the economic cost of corrupting a shared liquidity pool.

Security scales with liquidity. Traditional blockchain security relies on the cost of corrupting a validator set. Interchain security, as implemented by protocols like LayerZero and Axelar, shifts this model. The primary slashing asset is the liquidity staked in the protocol's relayers or attestation pools, not the native token of a sovereign chain.

Capital efficiency drives security. A shared security pool serving multiple chains, like Polygon's AggLayer or Cosmos' Interchain Security v3, creates a capital flywheel. More chains attract more pooled capital, which increases the cost of attack per chain, attracting more chains. This is superior to isolated validator sets competing for the same staking capital.

The slashing mechanism is the product. The security guarantee is the product of the total value locked (TVL) in the pool and the slashing risk for malicious behavior. A protocol with $10B in pooled capital and a 10% slashing risk presents a $1B cost to attack, which secures every connected chain. This is the core innovation behind shared sequencer and restaking models.

Evidence: The rapid adoption of EigenLayer and Babylon demonstrates the market's demand for this model. They treat Bitcoin and Ethereum staked capital as a reusable security primitive, directly applying the liquid capital at risk thesis to secure new networks and AVSs.

INTERCHAIN SECURITY MODELS

Economic Security: Staked vs. Liquid Capital

Compares the capital efficiency and risk profile of traditional staked security versus novel liquidity-backed models used by cross-chain protocols.

Security ModelStaked Capital (e.g., Cosmos Hub)Liquid Capital Pool (e.g., Chainlink CCIP, LayerZero)Hybrid / Slashing Pool (e.g., EigenLayer, Babylon)

Capital Source

Native token stakers

External liquidity providers (LPs)

Restaked ETH or BTC

Slashing Mechanism

Direct stake slashing for faults

Bond forfeiture & insurance pool claims

Slashing of restaked assets

Capital Efficiency

Security = Total Staked Value

Security = TVL in Pool (often > Staked Value)

Security = Value of Restaked Assets

Opportunity Cost for Capital

High (capital locked, illiquid)

Low (capital remains liquid, earns yield)

Medium (capital is liquid but slashing risk)

Attack Cost for 51%

~$2B (based on ATOM staked)

$10B (based on aggregated LP TVL)

$20B (leveraging Ethereum's stake)

Yield Source for Securers

Protocol inflation & fees

Protocol fees & LP trading fees

EigenLayer AVS rewards + native yield

Cross-Chain Scope

Limited to provider chain's validators

Omnichain (secures all connected chains)

Initially Ethereum-centric, expanding

Time to Finality Impact

Immediate (native chain consensus)

Delayed (fraud proof window: 1-7 days)

Varies by AVS; can be immediate or delayed

deep-dive
THE CAPITAL STACK

Mechanics: How a Shared Liquidity Pool Backstops Security

Shared liquidity pools replace trusted validators with a unified capital reserve, making security a direct function of economic depth.

Shared liquidity pools are the canonical security primitive. They replace the multi-chain validator problem with a single, auditable on-chain reserve. This shifts the security model from Byzantine fault tolerance to economic finality.

Capital efficiency creates security. A unified pool for protocols like Across and Stargate eliminates fragmented, underutilized reserves. This increases the economic cost of an attack proportionally to the total pooled value, not a single bridge's TVL.

Slashing is automated and verifiable. Unlike subjective multi-sigs, pooled security uses on-chain fraud proofs or optimistic verification. Any provable failure triggers an automatic, programmatic slashing event against the shared pool.

Evidence: The EigenLayer restaking model demonstrates this principle, where a single staked ETH position can backstop multiple AVSs. Shared liquidity pools apply this to cross-chain messaging, making security a scalable, commoditized resource.

counter-argument
THE LIQUIDITY TRAP

Counterpoint: Isn't This Just Recreating Rehypothecation Risk?

Shared security models face a fundamental trade-off between capital efficiency and systemic risk, mirroring traditional finance's pitfalls.

Shared liquidity pools create systemic dependencies. A single pool of collateral securing multiple chains concentrates risk. A failure or exploit on one chain can drain the pooled stake, cascading to all secured chains. This is the core rehypothecation risk.

The trade-off is capital efficiency versus risk isolation. Traditional models like Cosmos Interchain Security (ICS) or EigenLayer's restaking prioritize efficiency. Isolated models like Polkadot's parachains or dedicated validator sets prioritize safety. The choice dictates the failure domain.

Proof-of-Stake rehypothecation is more transparent. Unlike opaque bank ledgers, on-chain slashing conditions and governance are programmatic and visible. Protocols like EigenLayer enforce slashing via smart contracts for verifiable breaches, not hidden leverage.

Evidence: The 2022 Celestia data availability layer launch required a new, isolated validator set. This avoided polluting the Cosmos Hub's security budget, demonstrating the conscious choice for risk isolation over pooled efficiency.

protocol-spotlight
SHARED LIQUIDITY AS A SECURITY PRIMITIVE

Protocol Spotlight: Early Implementations and Analogues

Interchain security models are shifting from validator-centric to capital-centric, where pooled liquidity acts as a programmable, attack-resistant bond.

01

The Problem: Fragmented Security Budgets

Independent chains must bootstrap their own validator sets and staking tokens, creating sub-critical security budgets vulnerable to 34% attacks. This is the core scaling bottleneck for app-chains and rollups.

  • Security Cost: A new L1 requires $1B+ in staked value for baseline security.
  • Attack Surface: Low-value chains are perpetual targets for reorgs and double-spends.
  • Economic Waste: Capital is locked in silos, unable to secure the broader ecosystem.
$1B+
Security Cost
34%
Attack Threshold
02

The Solution: Cosmos Hub's Replicated Security

The Cosmos Hub's Interchain Security v1 allows consumer chains to lease the Hub's validator set and its $50B+ staked ATOM. Security is a service paid for with transaction fees and native token inflation.

  • Shared Slashing: Malicious activity on a consumer chain leads to ATOM slashing.
  • Capital Efficiency: Chains launch with enterprise-grade security from day one.
  • Protocol Analogue: This is the blockchain equivalent of AWS's shared responsibility model, abstracting infrastructure risk.
$50B+
Shared Stake
0
New Validators
03

The Solution: EigenLayer's Restaking Pool

EigenLayer creates a generalized marketplace for cryptoeconomic security by allowing ETH stakers to opt-in to secure additional services (AVSs). It turns $20B+ of staked ETH into a reusable security primitive.

  • Pooled Collateral: A single restaked ETH position can secure multiple rollups, oracles, and bridges simultaneously.
  • Slashing for Intent: Penalties are enforced for proven misbehavior, not chain failures.
  • Market Dynamics: Security costs are set by supply/demand for restaked capital, not monolithic governance.
$20B+
Restaked TVL
10x+
Capital Reuse
04

The Analogue: Shared Sequencer Networks (Espresso, Astria)

Shared sequencer networks like Espresso and Astria apply the same principle to rollup sequencing. They create a liquid market for block space ordering secured by a decentralized set of stakers.

  • Liquidity for Censorship Resistance: A large, shared bond makes transaction censorship economically irrational.
  • Interoperability Byproduct: Chains using the same sequencer set get native cross-rollup atomic composability.
  • The Shift: Moves security from chain-specific PoS to network-wide economic security for a critical middleware layer.
~500ms
Finality Time
-90%
Sequencer Cost
05

The Trade-off: Liquidity vs. Sovereignty

Leasing security from a liquidity pool introduces systemic risk and governance dependencies. The security provider becomes a central point of failure.

  • Correlated Slashing: A bug in one consumer chain could slash the entire shared pool.
  • Governance Capture: The hub (e.g., Cosmos Hub, EigenLayer) gains veto power over chain upgrades and economics.
  • Market Risk: Security becomes a commodity subject to price volatility of the underlying stake (e.g., ETH, ATOM).
1 Bug
Many Chains
Veto Power
Governance Risk
06

The Future: Programmable Security Markets

The end-state is on-chain security derivatives: dynamically priced, risk-adjusted bonds that can be allocated across thousands of services. This is the DeFi-ification of cryptoeconomic security.

  • Risk Engines: Oracles like Chainlink will price slashing risk based on chain activity and code audits.
  • Tranching: Stakers will choose between high-yield/high-risk and low-yield/insured security pools.
  • Ultimate Goal: A global capital market where security is a liquid, composable asset class.
1000+
Services Secured
Dynamic
Risk Pricing
risk-analysis
LIQUIDITY AS A SECURITY PRIMITIVE

Risk Analysis: What Could Go Wrong?

Interchain security models like shared sequencers and optimistic bridges use pooled capital as a deterrent, creating a new class of systemic risk.

01

The Liquidity-Throughput Paradox

Shared liquidity pools must be large enough to secure billions in cross-chain volume, but capital efficiency is inversely proportional to security. A pool securing $10B+ TVL across 50+ chains faces a >100x leverage ratio, making it a systemic single point of failure.\n- Risk: A correlated exploit drains the canonical bridge, freezing all connected chains.\n- Example: The Wormhole hack demonstrated a $326M vulnerability in a single liquidity pool.

>100x
Leverage Risk
$10B+
TVL Target
02

The Validator Cartel Attack

Proof-of-Stake security for shared sequencers (e.g., EigenLayer, Babylon) relies on decentralized validator sets. In practice, a small cartel controlling >33% of the stake can censor or reorder cross-chain transactions for maximal extractable value (MEV).\n- Risk: Centralized node providers (e.g., AWS, Google Cloud) create latent collusion vectors.\n- Mitigation: Models like Cosmos ICS penalize downtime, but live slashing for censorship remains unsolved.

>33%
Cartel Threshold
~0ms
Censorship Latency
03

Oracle Manipulation & Data Avalanches

Optimistic bridges (e.g., Nomad, Across) and intent-based systems (e.g., UniswapX) depend on external price oracles. A manipulated price feed on one chain can trigger a cascading liquidation avalanche across all secured chains, draining the shared liquidity pool.\n- Risk: A 10% oracle deviation can lead to >50% pool insolvency via recursive liquidations.\n- Defense: Protocols like Chainlink CCIP use decentralized oracle networks, but cross-chain latency creates arbitrage windows for attackers.

10%
Deviation Trigger
>50%
Insolvency Risk
04

The Interchain Reorg Time Bomb

Shared security assumes finality. A deep reorg on a major provider chain (e.g., Ethereum) can invalidate thousands of dependent cross-chain states, forcing mass slashing or creating a "double-spend across chains" scenario. Light clients and fraud proofs are too slow to react.\n- Risk: A 7-block reorg on Ethereum could collapse the economic security of all EigenLayer AVSs for ~90 seconds.\n- Reality: This is a low-probability, existential risk that current models simply accept.

7-Blocks
Reorg Depth
90s
Security Blackout
future-outlook
THE VIRTUOUS CYCLE

Future Outlook: The Liquidity-Security Flywheel

Interchain security models are converging on a single, non-negotiable dependency: deep, shared liquidity pools.

Security is a liquidity problem. Validator-based models like Interchain Security (ICS) and EigenLayer AVS require massive capital staked to secure new chains. This capital is only economically viable if it can be efficiently deployed across multiple revenue-generating services, creating a shared security pool.

Liquidity attracts more liquidity. A chain secured by a large, established pool like Cosmos Hub or an EigenLayer operator set signals lower risk. This attracts more developers and users, whose fees increase staking yields, which in turn attracts more capital to the security pool.

The flywheel breaks without interoperability. Isolated security pools are inefficient. Protocols like Axelar and LayerZero enable cross-chain messaging that lets shared security capital back applications on any connected chain, maximizing utility and yield for stakers.

Evidence: Cosmos Hub's Interchain Security v2 directly ties validator rewards to the economic activity of consumer chains, explicitly creating a flywheel where security begets liquidity which begets more security.

takeaways
THE LIQUIDITY-TO-SECURITY PIPELINE

Key Takeaways for Builders and Investors

Interchain security is not just about validators; it's an economic game where shared liquidity pools are the ultimate collateral.

01

The Problem: Fragmented TVL = Fragmented Security

Isolated chains must bootstrap their own validator staking pools, creating high inflation costs and low capital efficiency. Security becomes a marketing expense, not a network effect.

  • Result: New L2s often start with <$100M TVL, making them trivial to attack.
  • Consequence: Investors face systemic risk from under-collateralized bridges and light clients.
<$100M
Bootstrap TVL
High
Inflation Cost
02

The Solution: Shared Security as a Liquidity Sink

Models like EigenLayer, Babylon, and Cosmos ICS treat pooled capital as reusable security collateral. Staked assets secure multiple services simultaneously.

  • Mechanism: Restakers provide cryptoeconomic slashing guarantees for AVSs, rollups, and bridges.
  • Outcome: Capital efficiency multiplies, creating a flywheel where more applications attract more pooled stake, raising the cost of attack for all.
$10B+
Restaked TVL
>1x
Capital Reuse
03

The Bridge Dilemma: Liquidity Pools Over Messaging

Native bridges relying solely on LayerZero or Axelar messages are only as secure as their often-underfunded quorum. Liquidity-based bridges like Across and Chainlink CCIP use pooled capital as the canonical security layer.

  • Key Insight: The liquidity pool is the verifier. Fraud proofs slash pool funds, not just a small validator bond.
  • Builder Action: Design bridges where the economic security (TVL) scales independently of the underlying chain's security.
Minutes
Fast Withdrawals
Pool-Based
Security Model
04

Investor Thesis: Security is the Ultimate Yield Source

The future yield stack isn't DeFi farming; it's selling security as a service. Protocols that aggregate and underwrite security (e.g., EigenLayer AVSs, Hyperliquid L1) capture fees from all secured chains.

  • Metric to Track: Total Value Secured (TVS) vs. TVL. TVS should be a multiple of TVL.
  • Red Flag: Chains with high TVL but low TVS are inefficient capital sinks vulnerable to re-staking drains.
TVS/TVL
Key Ratio
Fee Capture
Revenue Model
05

The Modular Endgame: Specialized Security Markets

Monolithic security is dead. We're moving to markets for data availability security (EigenDA, Celestia), settlement security (shared sequencers), and oracle security (Chainlink).

  • Builder Mandate: Don't roll your own validator set. Rent it from the cheapest, most secure provider for each module.
  • Investor Mandate: Back the base-layer security primitives, not the countless chains built on top of them.
Modular
Stack
Rent, Don't Build
Builder Rule
06

The Systemic Risk: Liquidity Rehypothecation Cascades

Shared liquidity pools create interconnected failure modes. A major slashing event on EigenLayer could trigger liquidations across every AVS and chain it secures, reminiscent of 2022's CeFi contagion.

  • Critical Design: Robust, isolated slashing conditions and circuit breakers are non-negotiable.
  • Due Diligence: Audit the rehypothecation chains and liquidation waterfalls of any "shared security" asset.
Contagion
Primary Risk
Circuit Breakers
Mitigation
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Why Interchain Security Needs Shared Liquidity Pools | ChainScore Blog