Navigating Smart Contracts: A Comprehensive Risk Management Framework for Digital Assets

As organizations across all sectors deploy immutable code, enterprise risk management must evolve to govern smart contract risks across business, information technology, and data functions.

Francois Labuscagne, CPA, CIA

Smart contracts – self-executing programs on blockchains – represent one of the newest infrastructure developments for institutional finance. Major asset managers now use them to automate compliance and distribute earnings yield to tokenized fund holders^[1], while energy grids automate electricity trading^[2] and healthcare providers secure clinical trial data^[3].

The stakes are higher than most executives appreciate. Whether a smart contract holds $50 million or controls provenance records for a vaccine supply chain, the risk can be clearly stated: the code is autonomous. High-profile exploits, such as the $600 million Poly Network incident^[4], underscore a harsh reality: traditional information technology (IT) risk approaches fall short too often, when applied to autonomous code.

As a practitioner responsible for operations, I have seen firsthand that while the blockchain ledger reduces many risks through immutable transaction records^[5], the code executing on it – the smart contract – introduces new risk vectors. In Q1 2025 alone, smart contract and access control exploits drove significant portions of the $2 billion lost in Web3 security incidents^[6]. Under globally recognized enterprise risk frameworks (for example, COSO ERM Framework), organizations must now establish robust, multi-disciplinary governance over these technologies.

This article equips risk professionals with a roadmap for adapting the commonly used Three Lines of Defense Model^[8] to the blockchain environments, with practical examples spanning business, IT, and data functions.

The Three Lines Model: Adapting to Immutable Code

The Three Lines Model provides the foundational governance structure familiar to most management executives^[8]. For smart contracts, which blend software engineering with automated controls, this model is still of vital importance to prevent silos where developers bypass critical risk gates.

As noted in previous guidance from the Institute of Internal Auditors^[5], smart contracts are fundamentally immutable; once deployed, their base logic cannot be patched. While modern developers use upgradeability proxies to route around flawed code, a vulnerability on a live network is instantly exploitable. This shifts risk management focus heavily toward pre-deployment governance; prevention is certainly better than a cure after the fact. Continuous post-deployment monitoring is equally important.

Practical Example: Pharmaceutical Supply Chain. Consider a pharmaceutical consortium deploying a smart contract to automate payments to logistics providers only when temperature sensors (what is often refers to as “oracles” in smart contract language) confirm a vaccine shipment remained below freezing.

The first line of business executives (supply chain managers and developers) codes the payment logic: if criteria are met, the payment will be executed. The second line business executives (risk and compliance managers in their oversight role) challenges the security architecture of the Internet of Things (IoT) temperature sensors feeding data to the blockchain: they validate that the criteria was designed and built correctly and in accordance with the firm’s policies and procedures. The third line (internal audit executives) subsequently verifies that the governance process functioned correctly, ensuring alignment with Good Distribution Practice (GDP) regulations that govern quality of pharmaceutical products. If these lines are blurred, a single coding flaw could be overlooked and trigger millions in erroneous payments for spoiled vaccines.

Enterprise risk leaders must map these technologies into the corporate risk universe. Smart contracts are critical automated controls that demand oversight across the entire organization, bridging the “code vs. control” divide. If done right, smart contracts can be an excellent control, that executes correctly; every time. But if done wrong, the same can be true on the negative. 

First-Line Ownership: Business, IT, and Data Convergence

In the context of smart contracts, the first line is not monolithic. It requires the tight integration of three distinct domains: Business, IT, and Data. When these functions operate in silos, smart contract deployments almost always face failure.

• The Business Function. Business owners define the operational logic and commercial terms. They must clearly document intended outcomes, edge cases, and regulatory constraints (such as KYC/AML in financial services or HIPAA in healthcare). A common failure occurs when the business delegates logic definition entirely to trusted developers, resulting in code that executes perfectly but violates commercial intent.
• The IT and Engineering Function. IT translates business logic into secure code (e.g., Solidity or Rust), owns the pre-deployment security pipeline, and secures the administrative keys used to manage the contract post-deployment.
• The Data Function. Smart contracts rely extensively on data, this includes external data feeds (oracles) to execute logic. The data function must ensure the integrity, availability, and accuracy of these feeds, as a single-source oracle introduces a critical point of failure.

Practical Example: Oracle Failure in Energy Trading. A regional utility utilized a smart contract for peer-to-peer solar energy trading. The contract relied on a single data oracle for spot market pricing. When the oracle diverged due to a network outage, the smart contract executed trades at wildly inaccurate prices. The failure was not in the IT code, but in the data function’s architecture. Post-incident, the organization mandated dual-oracle setups and automated circuit breakers, reducing recurrence risk by 80%. I mention this example under first-line heading, but make no mistake: all 3 lines of defense had the opportunity to identify and correct this failure.

Second-Line Oversight: From Policy to Monitoring

Second-line functions including Risk management, Compliance, and Information Security, design risk management frameworks tailored to smart contract lifecycle risks: code vulnerabilities, oracle failures, governance flaws, and regulatory drift, creating the control environment that governs the first line.

When evaluating a smart contract risk management framework, I look for three core elements:

• Inventory and Tiering. Management must maintain a centralized ledger of all deployed contracts, oracles, and proxy admin keys, rated by exposure. By mid-2025, the tokenized real-world asset market exceeded $24 billion^[9], making financial exposure tiering critical.
• Pre-Deployment Gates. The framework must mandate threat modeling alongside mandatory audits by external, specialized Web3 security firms. Threat modeling can be both manual and automated by use of AI tools and can significantly reduce external audit costs. The second line must have authority to reject deployment if critical vulnerabilities remain unresolved.
• Live Oversight. The second line must define Key Risk Indicators (KRIs) such as transaction failure rates, oracle data divergence, or anomalous gas usage. Risk teams should utilize on-chain monitoring dashboards for real-time alerts.

If you are familiar with the second-line function these will sound familiar – it is a commonly used, tried and tested approach.  

Third-Line Assurance: Independent Verification

Internal audit delivers independent assurance, treating smart contracts as highly complex automated controls. A common pitfall I see is the expectation that standard internal audit teams should perform line-by-line static code analysis.  In reality, highly technical code review is the domain of specialized third-party security firms. AI tools available during the coding process has made great strides in reducing the number of vulnerabilities, but too often these are not used or their findings are not retained for later review by internal audit who needs to validate the process. Internal audit’s role is to audit the governance and processes surrounding the smart contract lifecycle – they are not coders.

Chief Audit Executives (CAEs) must supervise field teams, ensuring strict technical competency^[7]. If the internal team lacks the ability to understand blockchain architecture, the CAE must acquire this competency through specialized industry resources, certifications, or co-sourcing arrangements.

A comprehensive third-line review should include:

• Engagement Risk Assessment. Evaluate the specific risks of the engagement, confirm inventory accuracy, and verify that administrative keys are secured by multi-signature (multi-sign) wallets.
• Design and Operating Effectiveness. Audit the pre-deployment process: Was up to date, institution grade, Web3 AI security products used? Was a clean third-party audit obtained before deployment?  Were all high-risk vulnerabilities remediated? Test governance over upgrade proxies and kill switch documentation.
• Substantive Testing. Trace critical transactions via blockchain explorers against off-chain systems, validating oracle inputs and embedded compliance controls.

Practical Example: Admin Key Misconfiguration. During a governance review of a blockchain-based real estate registry, the third line discovered that a single admin key, held by one IT developer, had the authority to alter property deed records. Substantive tests revealed unauthorized test modifications hidden in low-fee transactions. The CAE supervised the reporting of this critical finding. Post-remediation retesting confirmed that a 3-of-5 multisig implementation was activated across multiple government departments, averting a massive data integrity failure.

Expanded Challenges and Playbook

Smart contracts amplify traditional IT risks due to immutability and pseudonymity. Risk leaders must supervise tailored responses to these unique challenges across any industry.

• Code Vulnerabilities.  IT must adapt the Open Worldwide Application Security Project (OWASP) Top 10 standard for Smart Contracts^[10] and mandate external audits prior to deployment. The second line enforces this policy, and the third line confirms completion and verifies the external firm’s independence.
• Oracle Manipulation. The Data function should require multi-oracle setups and deviation circuit breakers. The second line monitors data divergence KRIs, and the third line reperforms transaction samples and tests failure protocols.
• Regulatory Drift. The Business function should embed compliance screening (e.g., HIPAA in healthcare, KYC in finance) into contract logic. The second line monitors regulatory changes, and the third line maps contract logic to compliance policies and reperforms checks.
• Upgradability. IT should utilize proxy patterns and implement timelocks. The second line oversees upgrade proposals, and the third line tests governance over these proposals and validates post-upgrade transactions.
• Custody Risks. IT and Business must mandate Multi-Party Computation (MPC) wallets and require cross-chain verification. The second line monitors bridge exposures, and the third line traces bridge transactions and assesses incident response.

Practical Application: A Cross-Industry Approach

To see how this works in practice, consider how a mature organization integrates the Three Lines Model for smart contracts:

1. 1. 1. The first line designs the business logic (Business), codes the contract securely (IT), and architects reliable external data feeds (Data).
         
      2. The second line validates the contract inventory and monitors KRIs. When an automated alert triggers due to anomalous transaction volumes, the second line investigates immediately to determine if it is a market event or a code flaw.
         
      3. The third line executes quarterly testing. They verify multisig controls on administrative functions, confirm third-party security audit findings are resolved prior to deployment, and trace transactions from the blockchain explorer to off-chain receipts. If findings flag delayed oracle updates, audit recommends specific dashboard alerts. This rigorous discipline protects the organization’s most critical digital assets and data.
         

Lead the Digital Risk Frontier

Smart contracts are propelling innovation across every sector, but they demand evolved, rigorous risk management. Traditional IT general controls are necessary but insufficient for autonomous, immutable code. Risk leaders must deploy the sidebar checklist, align their methodologies to modern enterprise risk standards, and position their organizations as digital risk leaders. The global economy, increasingly reliant on automated trust, demands the disciplined, multi-disciplinary governance that only a well-prepared Three Lines framework can provide.

Sidebar: Risk Officer’s Smart Contract Governance Checklist

Oversee enterprise execution with these steps aligned to global risk management best practices. Adapt this checklist for your organization’s specific smart contract portfolio.

Francois Labuscagne, CPA, CIA, is the Chief Financial Officer and Chief Operating Officer at Zult Inc. a New York based Financial Services firm.

References

1. OneSafe (2025) ‘Tokenized Securities: How BlackRock’s BUIDL Fund is Transforming Traditional Finance’, OneSafe Blog.
2. Grigoryan, H. (2024) ‘Cost-Effective Integration of Blockchain Technologies Into Peer-to-Peer Energy Trading Systems’, IEEE COINS.
3. Hawashin, D. (2025) ‘Leveraging blockchain and LLMs for patient-clinical trial matching and data integrity’, ScienceDirect.
4. Bordeianu, A. A. (2025) ‘Blockchain Variables and Possible Attacks: A Technical Review’, MDPI.
5. Institute of Internal Auditors (IIA) (2019) Blockchain and Internal Audit.
6. Hacken (2025) Web3 Security Report Q1 2025: $2B Lost in 90 Days.
7. Institute of Internal Auditors (IIA) (2024) Global Internal Audit Standards.
8. Institute of Internal Auditors (IIA) (2020) The IIA’s Three Lines Model.
9. World Economic Forum (WEF) (2025) Asset Tokenization in Financial Markets.
10. OWASP (2025) OWASP Smart Contract Top 10.