The European Commission’s recent report on “Embedded Supervision of Decentralized Finance (DeFi)” marks a significant milestone in assessing the feasibility of regulatory oversight within blockchain-based financial ecosystems. Prepared by IBM Promontory, the report outlines a structured approach to monitoring DeFi activities through real-time access to blockchain transaction data.
This initiative comes at a time when DeFi is rapidly expanding beyond developed financial markets, offering both opportunities and risks for emerging and frontier economies. The relevance of this study extends well beyond the European Union, as it sets a potential global precedent for regulatory engagement with DeFi.
Key Insights from the Report
The report is structured around four phases. First, IBM Promontory identified four core DeFi applications—decentralized exchanges (DEX), lending platforms, insurance services, and aggregators—selecting eight key protocols, including Uniswap, Aave, and MakerDAO, for analysis ( details in Link above).
Next, a data collection systemwas developed to analyze transactions directly from the Ethereum blockchain, a critical step in understanding how real-time supervisory data can be accessed and processed.
The third phase mapped DeFi data against existing traditional financial (TradFi) regulatory benchmarks such as MiFID II, Solvency II, and Basel III, addressing challenges such as pseudonymous wallet addresses, data standardization issues, and the evolving nature of smart contracts.
Finally, the report proposes a risk-based approach to regulation, emphasizing collaboration between DeFi and TradFi experts, enhanced data standardization, and the use of liquidity pool monitoring for macroprudential oversight.
Evolution of Embedded Supervision in DeFi: A Comparison with TradFi
DeFi has emerged as an alternative to traditional financial systems (TradFi), offering permissionless, borderless, and automated financial services. However, the lack of intermediaries creates unique challenges for regulation and oversight. Embedded supervision, a concept that integrates regulatory oversight within technology itself, has evolved to address these challenges. While TradFi relies on centralized regulatory frameworks, DeFi’s approach to embedded supervision seeks to ensure compliance through blockchain transparency and smart contracts.
In its early days (2017–2019), DeFi operated without formal oversight, relying on self-regulation, where governance was either centralized by project teams or delegated to token holders in a loosely structured manner. However, as DeFi grew in complexity, embedded supervision leveraged blockchain’s transparent nature, allowing regulators and auditors to access real-time transaction data. Unlike TradFi, where financial institutions report to regulators periodically, DeFi transactions are instantly verifiable, marking the first step toward integrated regulatory oversight without requiring intermediaries.
From 2020 onwards, DeFi protocols began incorporating automated compliance mechanisms. Smart contracts enforced Know Your Customer (KYC) and Anti-Money Laundering (AML) checks, particularly in institutional-focused DeFi platforms like Aave Arc and Compound Treasury. Emerging regulatory-integrated oracles, such as those introduced by Chainlink, enable external compliance data to interact with smart contracts, reinforcing the concept of automated regulatory oversight.
Embedded Supervision in TradFi 9 (aka Regtech)
Traditional finance relies on centralized regulatory agencies such as the U.S. Securities and Exchange Commission (SEC), the European Central Bank (ECB), and the Financial Conduct Authority (FCA). Supervision is structured around periodic reporting, audits, and compliance checks. Unlike DeFi’s automated systems, TradFi compliance depends on centralized intermediaries such as clearinghouses, rating agencies, and auditors, increasing operational costs and processing delays. While RegTech (Regulatory Technology) solutions are being introduced in TradFi, they remain reliant on centralized oversight rather than fully automated, on-chain verification.
Future of Embedded Supervision in DeFi
As DeFi continues to grow, embedded supervision will likely become more sophisticated. Regulatory bodies are exploring blockchain-native oversight mechanisms, and collaborations between DeFi projects and regulators are increasing. The integration of decentralized identity solutions, AI-driven compliance, and regulatory oracles will further strengthen embedded supervision. Compared to TradFi, DeFi’s embedded supervision provides real-time transparency, reduced compliance costs, and automated regulatory enforcement, but challenges such as regulatory uncertainty, smart contract risks, and privacy concerns must be addressed.
Technology Needs for DeFi Supervision: A Strategic Perspective
Supervising DeFi presents unique technological challenges due to its permissionless, open-source, and pseudonymous nature. Unlike TradFi, where intermediaries play a central role in data reporting and compliance, DeFi operates on decentralized ledgers that regulators must monitor directly. The European Commission report highlights key technological needs for effective oversight, focusing on blockchain infrastructure, AI-powered analytics, and cybersecurity considerations.
Regulators require direct, real-time access to blockchain transaction data, necessitating full Ethereum node deployment or hybrid API-based monitoring systems. AI-driven analytics, transaction clustering algorithms, and machine learning models are essential for detecting suspicious transactions, money laundering, and market manipulation. Additionally, cybersecurity challenges in DeFi demand blockchain forensics, smart contract risk assessments, and pseudonymity mitigation strategies to enhance oversight.
Let us look at Infrastructure requirements for DeFi Supervision:
Blockchain Data Access & Processing Capabilities
To effectively monitor DeFi activities, regulators require direct, real-time access to blockchain transaction data. This necessitates:
• Full Ethereum Node Deployment: Hosting an in-house node enables independent data retrieval but requires high storage (3+ TB SSD), fast processing (8+ vCPUs, 32GB+ RAM), and high-bandwidth networking (500 Mbps–1 Gbps).
• Alternative Blockchain Access (API Providers): Due to the resource-intensive nature of full node synchronization, using third-party services like Infura, Alchemy, or QuickNode can facilitate faster data extraction. However, this introduces a risk of reliance on centralized providers.
• Hybrid Approach: Regulators could combine self-hosted nodes for high-priority tasks while leveraging API services for scalability.
Smart Contract Analysis Tools
DeFi operates on complex smart contracts, which need continuous monitoring to detect potential risks and compliance violations. Essential tools include:
• Automated Smart Contract Auditors (e.g., OpenZeppelin, CertiK): These detect vulnerabilities and flag suspicious contract behaviors.
• Static & Dynamic Analysis Tools: Regulators should use tools like Slither (for code scanning) and Mythril (for runtime vulnerability detection).
• Standardized Protocol Libraries: Developing reference datasets for major DeFi protocols (Uniswap, Aave, MakerDAO) would enhance supervision efficiency.
Data Storage & Management
Since blockchain transactions generate vast datasets, effective storage and retrieval mechanisms are required:
• NoSQL Databases (e.g., MongoDB): Useful for storing high-volume transaction data in a flexible format.
• Distributed Ledger Indexing Solutions: The Graph (GraphQL APIs) or Chainalysis Reactor enable efficient querying and indexing of DeFi transactions.
• IPFS for Off-Chain Data: Some DeFi activities reference off-chain data (insurance claims, governance votes), necessitating IPFS (InterPlanetary File System) integration for supervision.
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Analytics & AI
Blockchain Analytics Platforms
Regulators must deploy advanced analytics tools to detect suspicious transactions, money laundering, and market manipulation:
• Transaction Clustering Algorithms: Tools like Chainalysis, Elliptic, and Nansen can deanonymize wallet behaviors by clustering related transactions.
• Graph Analytics & Network Visualization: Neo4j and Cytoscape help in tracking fund flows across DeFi protocols.
• Liquidity Pool Surveillance: Supervisors should analyze TVL (Total Value Locked), asset flows, and abnormal liquidity withdrawals to prevent market manipulation.
AI & Machine Learning for Risk Monitoring
To proactively detect financial crimes in DeFi, regulators should leverage machine learning (ML):
• Anomaly Detection Models: ML models trained on past fraud patterns can detect wash trading, front-running, and flash loan attacks.
• Natural Language Processing (NLP): NLP tools can scan governance proposals and forum discussions to identify potential risks before they materialize.
• Automated Risk Scoring: AI-driven risk assessment models can rank DeFi projects based on code security, governance transparency, and financial robustness.
Cybersecurity & Fraud Prevention Tools
One of the biggest hurdles in DeFi supervision is the lack of direct identity verification due to pseudonymous wallet addresses. Solutions include:
• Blockchain Forensics: Combining on-chain transaction monitoring with off-chain identity data (e.g., KYC-compliant exchanges like Coinbase, Binance) can improve oversight.
• Centralized On/Off-Ramp Monitoring: Since most DeFi users convert assets into fiat via regulated crypto exchanges, monitoring these points provides valuable supervisory insights.
• On-Chain Identity Verification (Decentralized KYC): Emerging soulbound tokens (SBTs) and Verifiable Credentials (VCs) could facilitate privacy-preserving identity verification.
Smart Contract Exploit Prevention
DeFi is highly vulnerable to exploits, rug pulls, and flash loan attacks. Supervisors should employ:
• Automated Smart Contract Risk Assessments: Tools like Forta and DeFi Safety continuously scan DeFi contracts for security vulnerabilities.
• Oracles with Multi-Signature Verification: Ensuring that DeFi lending and pricing oracles (e.g., Chainlink) utilize multi-party signatures can mitigate data manipulation risks.
Automated Liquidation Monitors: Monitoring DeFi lending platforms for liquidation cascades can help prevent systemic shocks
The Technology intensity of DeFi supervision leads to a direct escalation of costs for supervision. The cost increase comes from two sources- first, acquisition of the technology itself ( or the cost of engaging or collaborating with tech companies) and the retraining cost of existing supervisory personnel to deal with the advanced technology solutions.
Emerging Market Perspective
While the report focuses on the EU, its findings hold substantial relevance for developing economies where DeFi adoption is growing rapidly. Emerging and frontier markets increasingly rely on DeFi for financial services, yet the lack of regulatory oversight raises concerns about consumer protection and illicit activities. By leveraging embedded supervision tools, regulators in developing economies can monitor DeFi transactions without relying on intermediaries, ensuring a safer environment for participants.
Challenges such as regulatory data limitations, pseudonymous transactions, and liquidity risks require innovative solutions. One approach is leveraging centralized crypto exchanges with KYC compliance as intermediaries between fiat and crypto transactions. Moreover, regulatory frameworks in these economies could benefit from real-time analytics tools to detect liquidity risks, market manipulation, and financial instability.
Conclusion: A Call for Strategic Engagement
The European Commission’s report on embedded supervision is a crucial step toward reconciling DeFi innovation with regulatory oversight. For emerging markets, this study serves as a blueprint for engaging with DeFi in a structured and informed manner. Policymakers should consider establishing partnerships with blockchain analytics firms, developing risk-based regulatory frameworks, encouraging voluntary compliance among DeFi projects, and exploring regional regulatory collaborations, keeping in mind the cost-benefit tradeoff.
To ensure transparency and interoperability, regulators should adopt a risk-based approach to invest in open-source blockchain monitoring tools and cross-border data-sharing frameworks. There are significant benefits from investing in technology. Regulators can effectively supervise DeFi while preserving its benefits, ensuring a secure, compliant, and resilient decentralized financial ecosystem. This will increase costs of regulators but will reduce compliance costs at crypto asset service provider levels , as compliance will be automated to a significant extent. At the present moment, looking from emerging market crypto regulator perspective, the challenges look daunting. However, global collaboration among regulatory bodies are increasing, and the contribution of BIS innovation Hub in steering the collaborative effort is noteworthy.
To ensure transparency and interoperability, regulators are considering investing in open-source blockchain monitoring tools. Examples include:
• Project Dunbar (BIS Initiative) – Multilateral CBDC supervision.
• TRACFIN AML Tools – French regulator’s initiative for tracking suspicious crypto transactions.
• Ethereum’s Beacon Chain Explorer – Real-time staking and validator monitoring.
Moreover, DeFi operates across jurisdictions, requiring international regulatory cooperation:
• Interoperable Data Reporting Frameworks (aligned with MiCA, FATF travel rule, Basel III) can harmonize DeFi supervision.
• Global Liquidity Stress Testing Models can assess DeFi’s impact on financial stability in emerging and frontier markets.
We are entering a new world of finance, its time to think about the challenges the future is going to bring. Our future is no longer is what it used to be.
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