DeFi / Insurance / Risk / 2022

Divide & Share Risks: Designing a Three-Layer DeFi Risk Framework for Etherisc

Lionscraft's predecessor practice developed Divide & Share Risks (DSR), an approach to assessing the asset, protocol and liquidity-pool risks behind a DeFi transaction and exploring how those exposures might be controlled or transferred.

AdvisorySecure
3
layers in the DeFi risk model: assets, protocols and pools
2022
presented at D1Conf in Amsterdam
On this page

The story in brief

01 — Situation

A DeFi financing transaction can expose a user to several kinds of risk simultaneously. Looking at the protocol or collateral alone will miss risks inherited from the other layers.

02 — Role

A43 researched the risk decomposition and developed framework and control concepts for assessment and potential insurance applications.

03 — Work

A three-layer model covering asset, protocol and pool risk, with supporting taxonomies, candidate metrics, evidence sources, control principles and implementation-scoping material.

04 — Outcome

A documented technical research and design initiative, presented publicly at D1Conf in 2022. The archive supports framework work; it does not establish a deployed risk engine or operational insurance pool.

Client
Etherisc-related DSR initiative
Industry
DeFi · Insurance · Risk
Period
2022
Project
Divide & Share Risks (DSR)
Services
Advisory · Secure

The challenge

One financing position can carry three different layers of risk

Consider a loan or invoice-financing position using assets inside a DeFi protocol. The collateral can carry market or backing risk. The protocol can have a smart-contract, oracle or governance vulnerability. A pool can add concentration, liquidity and counterparty exposure.

A scoring system that assesses only the pool may fail to account for weaknesses in the underlying protocol or assets. An insurer considering cover also needs to distinguish the parts of the exposure that can be mitigated, assessed or transferred.

The DSR work began with practical financing contexts, including invoice and title financing, rather than treating risk scoring as an abstract number.

The story

01

Dividing an exposure into three assessable layers

A43 developed an architecture separating:

1. Asset risk – market behaviour, financial backing, volatility and relevant non-financial characteristics of the underlying asset. 2. Protocol risk – software and smart-contract exposure, governance, oracles, security controls, dependencies and historical incidents. 3. Pool risk – liquidity, concentration, positions, governance and risks inherited from assets and protocols.

The layers were designed to interact. A high-quality pool process does not remove exposure to an insecure protocol or unreliable collateral.

02

Combining data from blockchain and outside sources

The framework research explored indicators available from on-chain records, including liquidity and wallet concentration, alongside off-chain evidence such as audits, incident history, regulatory conditions and governance arrangements.

The accompanying risk taxonomy and early metrics material provided a structure for gathering evidence before deciding on mitigation or insurance treatment.

The technical and financial factors could vary significantly between use cases, so the work did not assume a single universal score would determine whether a position was safe.

03

From dividing cover to managing risk

The original Divide & Share Risks concept explored allocating different portions of an exposure to insurers or cover providers, with a possible Etherisc-based residual risk pool.

As the work progressed, A43 also developed the broader process of identifying risks, assessing significance, selecting responses, implementing controls and monitoring the result.

The surviving archive contains research, framework drafts, taxonomies and a roadmap for feasibility and proof-of-concept work.

04

Presenting the methodology

A43's founders presented the work at D1Conf in Amsterdam in April 2022, a conference devoted to blockchain insurance and risk.

The talk made the core design public: DeFi risk needs to be assessed in the context of the assets, protocols and financial products involved, rather than assigned a single generic blockchain-risk label.

The available evidence does not establish that the proposed risk pool launched or that a calibrated scoring engine entered production.

What Lionscraft did

Results and impact

01

A defined three-layer DeFi risk model spanning assets, protocols and pools.

02

Research and draft controls addressing both on-chain and off-chain exposures.

03

Financing use cases for invoice and title finance.

04

A public technical presentation at D1Conf 2022 and supporting design material.

The supported outcome is research and framework development. It is not a claim of insurance placement, completed risk-engine deployment or measured loss reduction.

Evidence and further reading

The public sources behind this story: announcements, partner reports and coverage. 3 sources.

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