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the-modular-blockchain-thesis-explained
Blog

Why Shared Security Models Are the Core of Modular Infrastructure

Re-staking protocols like EigenLayer and Babylon are not features; they are the foundational infrastructure that allows modular chains to bootstrap cryptoeconomic security. This is the core thesis of the modular stack.

introduction
THE FOUNDATION

Introduction

Shared security is the non-negotiable economic substrate enabling modular blockchains to scale without fracturing trust.

Security is a public good that modular chains cannot afford to bootstrap individually. The capital and validator coordination costs are prohibitive, creating a massive centralization risk for new networks.

Shared security models commoditize trust, allowing specialized execution layers like Arbitrum and zkSync to inherit the battle-tested security of Ethereum's consensus. This separates state validation from state execution.

The alternative is a fragmented security landscape reminiscent of early L1s. Without shared security, modular ecosystems like Celestia's data availability layer or EigenLayer's restaking would lack a universal trust anchor.

Evidence: Ethereum's beacon chain secures over $100B in staked ETH, providing a cryptoeconomic base for rollups that now process over 90% of Ethereum's transactions.

thesis-statement
THE ECONOMIC FOUNDATION

The Core Thesis

Shared security is the non-negotiable economic foundation that enables modular blockchains to scale without fragmenting liquidity or trust.

Security is the ultimate commodity. Monolithic chains like Ethereum and Solana bundle execution, consensus, and data availability, forcing every dApp to pay for the full security premium. Modular architectures like Celestia and EigenLayer unbundle this, creating a security marketplace where rollups and validiums purchase attestations.

Fragmentation destroys composability. A landscape of thousands of independent, weakly-secured chains creates systemic risk and cripples DeFi. Shared security models, whether via restaking pools on EigenLayer or proof-of-stake validation on Celestia, provide a unified security layer that maintains atomic composability across the modular stack.

The validator is the new infrastructure. In a modular world, the value accrues to the base security providers, not the execution layers. This inverts the monolithic model, making protocols like EigenDA and Babylon critical settlement primitives that underpin all application-specific chains.

Evidence: EigenLayer has attracted over $15B in restaked ETH, demonstrating clear demand to monetize cryptoeconomic security. This capital secures actively validated services (AVSs) like AltLayer and Lagrange, proving the model's viability.

market-context
THE CORE CONSTRAINT

The Security Bottleneck

Shared security models are the foundational primitive that enables modular blockchains to scale without fragmenting capital or trust.

Monolithic chains centralize security. A single chain like Ethereum or Solana must secure all execution, settlement, and data availability within its own validator set, creating a hard scalability cap and forcing users to pay for bundled security.

Modular chains unbundle security. By separating execution (Arbitrum), settlement (Celestia), and data availability (EigenDA), each layer can specialize, but this creates a new problem: how do you secure a chain of chains?

Shared security is the solution. Protocols like EigenLayer and Babylon allow new chains to rent economic security from established validator sets (e.g., Ethereum stakers), eliminating the need for a bootstrapped validator set from scratch.

This model commoditizes trust. A rollup secured by EigenLayer does not need its own token for security, reducing capital fragmentation and creating a security-as-a-service market where cost correlates with risk, not marketing spend.

Evidence: EigenLayer has over $15B in restaked ETH, demonstrating massive demand to monetize staked capital and supply security to nascent chains like AltLayer and Lagrange.

MODULAR INFRASTRUCTURE

Security Model Comparison: Bootstrapping Cost & Time

Quantifying the capital and temporal overhead for a new chain to achieve economic security, comparing monolithic, rollup, and shared security models.

Security MetricMonolithic L1 (e.g., Ethereum Fork)Sovereign Rollup (e.g., Celestia DA)Shared Security (e.g., EigenLayer AVS, Cosmos ICS)

Minimum Viable TVL for Security

$500M - $1B+

$0 (Relies on DA Layer)

$0 - $50M (Rents from Ethereum)

Time to Bootstrap Validator Set

6-24 months

N/A (No Consensus)

< 1 week (Activation Period)

Upfront Capital Cost for Validators

$32 ETH x 500k+ Validators

N/A

$0 (Existing Validators Re-stake)

Security Budget (Annualized Cost)

3-7% Token Inflation

$0.001 - $0.01 per tx (DA Fees)

5-20% of Rewards to Operators

Time to Finality (Post-Block)

12-15 minutes (Ethereum)

~2 seconds (to DA Layer)

12-15 minutes (Inherited from Ethereum)

Censorship Resistance

✅ (Sovereign Chain)

❌ (Relies on DA Layer)

✅ (Inherits Ethereum's)

Slashing Risk for New Chain

High (Untested Code)

None

High (Ethereum Validators at Risk)

Example Protocols

Polygon PoS, BSC

Celestia Rollups, Arbitrum AnyTrust

EigenLayer AVSs, Neutron, Dymension RollApps

deep-dive
THE FOUNDATION

How Shared Security Enables True Modularity

Shared security is the trust primitive that decouples execution from consensus, enabling secure, sovereign blockchains without the capital cost of bootstrapping a new validator set.

Shared security decouples trust from execution. A modular chain outsources its consensus and data availability to a secure base layer like Ethereum or Celestia. This allows the chain to focus solely on execution, inheriting the cryptoeconomic security of the underlying network without operating its own validators.

Sovereignty requires credible security. A rollup without shared security is just a sidechain, reliant on its own, often weaker, validator set. Protocols like EigenLayer and Babylon are extending this model by enabling the restaking of ETH or BTC to secure new networks, creating a more efficient security marketplace.

The alternative is fragmentation. Without shared security, each new chain must bootstrap its own validator set, leading to capital inefficiency and a fragmented security landscape. This is the core problem that modular architectures, via layers like Celestia for data and EigenDA for availability, are designed to solve.

Evidence: Ethereum's rollups, secured by its ~$90B staked ETH, process over 90% of L2 transactions. This demonstrates that security inheritance is the dominant scaling model, not isolated sidechains.

protocol-spotlight
THE ECONOMICS OF TRUST

Protocol Spotlight: The Security Providers

Modular blockchains separate execution from consensus, creating a critical market for security-as-a-service. These are the protocols selling trust.

01

The Problem: Solo Chains Are Sitting Ducks

Launching a standalone L1 or L2 requires attracting and maintaining a massive, honest validator set from scratch—a capital and coordination nightmare. This leads to low Nakamoto Coefficients and makes chains prime targets for attacks.

  • Security Budget: New chains often have <$100M TVL securing >$1B in assets.
  • Attack Surface: A 34% attack on a small validator set can cost <$1M.
<$1M
Attack Cost
1
Nakamoto Coeff.
02

EigenLayer: Re-staking Ethereum's Trust

EigenLayer allows ETH stakers to re-stake their stake to secure other protocols (AVSs), creating a pooled security marketplace. It leverages Ethereum's ~$100B+ economic security as a reusable resource.

  • Capital Efficiency: Validators earn extra yield for securing additional services.
  • Flywheel Effect: More AVSs increase demand for re-staked ETH, reinforcing the base security budget.
$100B+
Base Security
15%+
Additional Yield
03

Babylon: Bitcoin as a Staking Asset

Babylon enables Bitcoin holders to time-lock their BTC to secure Proof-of-Stake chains, unlocking the $1T+ idle security of Bitcoin. It uses Bitcoin's script for slashing conditions, making trust portable.

  • Unlocks New Asset Class: Brings Bitcoin's extreme security to PoS ecosystems.
  • Reduces Inflation: Chains can use BTC security instead of issuing new inflationary tokens.
$1T+
Idle Capital
0%
Chain Inflation
04

The Solution: Shared Sequencers (Espresso, Astria)

Rollups currently run their own sequencers, a centralized point of failure. Shared sequencer networks like Espresso and Astria provide decentralized, high-throughput ordering as a neutral service, with built-in MEV resistance.

  • Interoperability: Enables atomic cross-rollup composability.
  • Credible Neutrality: Prevents a single chain from censoring or front-running users.
~500ms
Finality
-90%
Sequencer Cost
05

Celestia: Data Availability as a Primitive

Security isn't just about consensus; it's about data verifiability. Celestia provides plug-in data availability (DA) with light client verification, so rollups don't rely on a monolithic chain's expensive calldata. Data Availability Sampling (DAS) allows the network to scale.

  • Cost Scaling: DA costs remain low as usage grows (~$0.01 per MB).
  • Sovereignty: Rollups retain their execution and governance.
~$0.01
Per MB DA Cost
100x
Cheaper than L1
06

The Endgame: A Trust Commodity Market

Shared security transforms trust from a fixed cost into a liquid, competitive commodity. Chains will shop for security based on cost, slashing guarantees, and finality speed. This creates a race to the bottom on security premiums and a race to the top on cryptographic guarantees.

  • Market Dynamics: Security becomes a bid/ask spread between stakers and chains.
  • Modular Outcome: Specialization drives efficiency, breaking the monolithic security monopoly.
>50%
Cost Reduction
Liquid
Trust Market
counter-argument
THE FLAWED PREMISE

The Centralization Counter-Argument (And Why It's Wrong)

Critics mislabel shared security as centralization, missing its core function as a trust-minimizing coordination layer.

Shared security is not centralization. Centralization is a single point of control. Shared security, like EigenLayer restaking or Babylon's Bitcoin staking, creates a decentralized marketplace where validators opt-in to secure new chains. The control is distributed across thousands of independent operators.

The alternative is fragmentation. Without shared security, every new rollup or appchain must bootstrap its own validator set. This creates security silos where smaller chains are vulnerable to cheap attacks, a problem proven by early Cosmos zones and Solana forks.

Proof lies in adoption. Major ecosystems are standardizing on shared security backbones. Celestia's data availability is secured by its own validator set, which rollups like Arbitrum Orbit and Manta Pacific trust. This specialization increases security for all participants, it does not centralize it.

risk-analysis
THE SINGLE POINT OF FAILURE

The Bear Case: Risks in the Shared Security Model

Shared security is the bedrock of modular blockchains, but its systemic risks are often under-priced.

01

The Systemic Contagion Problem

A critical bug or slashing attack on the shared security provider (e.g., EigenLayer, Cosmos Hub) doesn't just affect one chain—it cascades to all secured rollups and appchains. This creates a correlated failure mode for the entire ecosystem built on it.

  • Risk: A single exploit can nuke $10B+ in restaked or bonded TVL.
  • Reality: The security of 100 chains is only as strong as the weakest validator in the provider set.
$10B+
TVL at Risk
100+
Chains Exposed
02

The Centralization of Validator Power

Shared security consolidates economic and validation power into a few mega-providers. This recreates the miner/extractor centralization of early Ethereum but at a higher, systemic layer.

  • Risk: Lido, Coinbase, Binance-style dominance over restaking pools.
  • Result: Censorship resistance and credible neutrality degrade as a handful of entities control the fate of hundreds of sovereign chains.
>60%
Pool Concentration
3-5
Key Entities
03

The Liquidity Fragmentation Trap

Projects compete for security budget (restaked ETH, staked ATOM) within a finite pool. This creates a zero-sum game where new chains cannibalize the security of existing ones, or remain under-secured.

  • Problem: Security isn't magically multiplied; it's reallocated and diluted.
  • Evidence: Early Cosmos zones often traded off between high inflation (to attract validators) and low security.
Zero-Sum
Budget Game
-30%
Per-Chain Security
04

The Unproven Slashing Dilemma

Enforcing slashing for subjective faults (e.g., oracle incorrectness, MEV theft) across diverse appchains is a governance nightmare. Most shared security models punt on this, offering only crypto-economic security for consensus faults.

  • Gap: Real-world application security requires subjective slashing, which no major provider (EigenLayer, Babylon) has proven at scale.
  • Consequence: You're paying for a weaker security guarantee than advertised.
~0
Proven Cases
Subjective
Enforcement Risk
05

The Innovation Stifling Effect

Relying on a monolithic security provider creates vendor lock-in and protocol rigidity. Chains cannot easily fork or upgrade their security model without triggering a mass exit, stifling experimentation.

  • Contrast: Sovereign rollups (Fuel, Celestia) can change their DA layer or consensus without permission.
  • Cost: Modularity's promise of sovereignty is traded for rented security.
Vendor Lock-in
Architecture Risk
Slow
Upgrade Cycles
06

The Economic Abstraction Mirage

Paying for security in a foreign token (e.g., an appchain paying fees in ETH via EigenLayer) exposes the chain to volatile monetary policy and speculative pressures outside its control.

  • Volatility: Your chain's core security cost fluctuates with ETH's price, not your chain's usage.
  • Example: A bear market crash could force a chain to inflate its native token to pay security rents, creating a death spiral.
100%
External Monetary Policy
Death Spiral
Risk Model
future-outlook
THE BEDROCK

Future Outlook: The Security Stack

Shared security models are the foundational primitive that will define the next generation of modular blockchain infrastructure.

Shared security is the core primitive for modular scaling. It replaces the need for every new chain to bootstrap its own validator set, which is capital-inefficient and creates systemic risk. Protocols like EigenLayer and Babylon abstract security from a base layer (e.g., Ethereum) and lease it to rollups and app-chains.

This model commoditizes security. It transforms a capital-intensive operational cost into a predictable, on-demand utility. The competition shifts from recruiting validators to optimizing for economic security per dollar, creating a direct market between stakers and chains.

The counter-intuitive insight is centralization. While shared security pools capital, it concentrates validation power in a few large restaking providers. This creates a new coordination and slashing risk vector that protocols must manage, unlike isolated validator sets.

Evidence: EigenLayer secures over $15B in TVL. This capital is now the security backing for actively validated services like AltLayer rollups and EigenDA, proving the demand for pooled cryptoeconomic security.

takeaways
MODULAR SECURITY PRIMITIVES

Key Takeaways for Builders and Investors

Shared security is not a feature; it's the foundational economic primitive enabling modular blockchains to scale without fracturing capital or trust.

01

The Problem: The Sovereign Security Tax

Every new L1 or sovereign rollup must bootstrap its own validator set and token, creating a $10B+ collective capital inefficiency. This fragments liquidity and creates systemic risk for smaller chains.

  • Capital Cost: Bootstrapping a secure PoS chain requires billions in token value.
  • Operational Overhead: Managing a live validator set is a full-time security operation.
  • Investor Dilution: Endless new tokens compete for the same speculative capital.
$10B+
Capital Inefficiency
100+
Fragmented Chains
02

The Solution: Re-staking as a Security Primitive

Protocols like EigenLayer and Babylon convert the largest staked assets (e.g., ETH, BTC) into a reusable security layer. This creates a flywheel where security begets more security.

  • Capital Efficiency: $20B+ TVL in EigenLayer re-staking reuses ETH security.
  • Unified Slashing: Malicious activity on any secured service risks the principal stake.
  • Builder Focus: Teams can launch AVSs or rollups without tokenomics gymnastics.
$20B+
TVL Secured
1 -> Many
Security Model
03

The Problem: Interop is a Security Nightmare

Bridging between 100+ sovereign chains means trusting 100+ unique security models. This creates a combinatorial explosion of risk, as seen in the $2B+ cross-chain bridge hacks.

  • Trust Fragmentation: Each bridge is a new trusted custodian or multisig.
  • Weakest Link: The security of a cross-chain asset is only as strong as its least secure bridge.
  • User Obfuscation: Users cannot realistically audit the security of every hop.
$2B+
Bridge Hacks
100+
Trust Assumptions
04

The Solution: Shared Security as Native Interop

Networks secured by a common validator set (e.g., Cosmos Hub ICS, Polygon AggLayer, Celestia-based rollups) enable trust-minimized communication. Validity proofs and IBC become the standard, not custom bridges.

  • Trust Minimization: Inter-blockchain Communication (IBC) works natively across a security zone.
  • Unified Finality: All chains in the ecosystem share the same finality guarantees.
  • Developer Leverage: Builders get secure interop out-of-the-box, like using an SDK.
~2s
IBC Finality
Zero-Trust
Interop Model
05

The Problem: Rollup Security is an Afterthought

Most optimistic rollups rely on a single, often underfunded, Security Council for upgrades and a 7-day challenge window for fraud proofs. This creates centralized control points and slow withdrawals.

  • Centralized Upgrades: Multi-sigs control code upgrades, a single point of failure.
  • Capital Lockup: $1B+ in liquidity is routinely locked for 7-day challenge periods.
  • Weak Fraud Proofs: Active monitoring and bonding are not economically guaranteed.
7 Days
Withdrawal Delay
~5/8
Multisig Control
06

The Solution: Modular Security Stacks

The future is mixing-and-match security providers: Celestia for data availability, EigenLayer for decentralized sequencing & proving, and Espresso Systems for shared sequencers. This commoditizes each security component.

  • Best-in-Class Security: Specialized networks compete on cost and guarantees for each function (DA, Sequencing, Proving).
  • Economic Security: Dual-staking with ETH and rollup token aligns incentives.
  • Rapid Innovation: Rollups can upgrade security providers without hard forks.
>4
Security Providers
-90%
Rollup OpEx
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