Lighter CEO: DeFi Should Not Be Treated as an Opponent of Regulators, While AI Could Accelerate Financial Democratization

Decentralized finance has often been framed as a challenge to traditional oversight. But at the first meeting of the U.S. Commodity Futures Trading Commission’s Innovation Advisory Committee, Lighter CEO Vladimir Novakovski argued for a different lens: DeFi should be understood as a verifiable financial technology stack that can support transparency, consumer protection, and fair markets rather than undermine them.

His remarks arrive at a critical moment for crypto regulation in 2025. Policymakers are increasingly focused on how on-chain markets, tokenized assets, stablecoins, decentralized exchanges, and AI-driven financial tools should fit into existing legal frameworks. For builders and users, the central question is no longer whether blockchain-based finance will exist, but how it can scale responsibly.

DeFi’s Regulatory Misunderstanding

For years, DeFi has been associated with regulatory friction. The lack of centralized intermediaries, global accessibility, pseudonymous participation, and automated smart contracts have made regulators cautious. Yet Novakovski’s core point is that DeFi’s design also creates a powerful supervisory advantage: transactions are recorded on public, auditable ledgers.

Unlike many traditional financial systems, where market activity is often fragmented across private databases, blockchains can provide real-time visibility into settlement, collateral flows, liquidity, and contract execution. This does not remove the need for rules, but it changes how oversight can work.

For regulators concerned with market integrity, public blockchains may offer new tools for monitoring systemic risk and identifying manipulative patterns. For users, verifiable execution can reduce reliance on opaque intermediaries. For developers, open-source infrastructure creates a path toward systems that can be reviewed, stress-tested, and improved by the broader community.

This is why the debate around decentralized finance regulation is shifting. Rather than asking whether DeFi can be forced into legacy categories, policymakers are beginning to examine how transparency, auditability, and programmable compliance can support public policy goals. The CFTC’s own work on innovation and market structure reflects this broader effort to understand new financial infrastructure through a technology-aware lens via its Innovation Advisory Committee.

Why On-Chain Transparency Matters

One of DeFi’s most important features is that it replaces many private reconciliation processes with shared state. In practical terms, this means that balances, transactions, contract logic, and market activity can be independently verified.

This matters in several areas:

• Market transparency: Users and analysts can observe liquidity conditions and large movements across protocols.
• Consumer protection: Public data can help identify suspicious contracts, exploit patterns, or misleading claims.
• Operational resilience: Open infrastructure can reduce dependency on single points of failure.
• Risk management: Collateral levels, liquidations, and exposure across lending or derivatives systems can often be monitored in near real time.

Of course, transparency alone is not a complete solution. Smart contracts can contain vulnerabilities, front-end interfaces can be compromised, governance can be captured, and users may misunderstand risks. But DeFi’s verifiability gives regulators, researchers, and security teams a richer data environment than many conventional financial systems.

This is especially relevant as global standard setters continue to study decentralized finance. The International Organization of Securities Commissions has highlighted the need to address DeFi risks while recognizing the distinctive technical features of decentralized systems in its work on DeFi policy recommendations.

Open, Verifiable Infrastructure as a Cybersecurity Advantage

Novakovski also emphasized the importance of moving more financial technology toward open and verifiable stacks. This point deserves attention because cybersecurity is now one of the most important issues in crypto.

In recent years, the industry has seen attacks involving bridge exploits, private key theft, oracle manipulation, malicious approvals, compromised front ends, and social engineering. These incidents show that blockchain security is not just about cryptography. It also depends on wallet design, user behavior, protocol audits, dependency management, governance controls, and incident response.

Open-source and formally verifiable systems can help reduce certain risks. When code is public, it can be reviewed by independent researchers. When contract behavior is mathematically specified, it becomes easier to test whether a system does what it claims. When infrastructure is modular and transparent, operators and users can better understand the trust assumptions involved.

This aligns with a broader 2025 trend: crypto users are becoming more security-conscious. As more people interact with DeFi protocols, tokenized real-world assets, restaking platforms, and on-chain derivatives, they increasingly need tools that help them verify what they are signing and protect their private keys from online threats.

AI and the Next Phase of Financial Access

Novakovski’s second major point focused on artificial intelligence. In his view, AI may allow ordinary users to translate their views on macroeconomic trends, industries, or market themes into customized baskets of trades or investment strategies. Historically, this type of portfolio construction was more available to wealthy clients and professional asset managers.

If implemented responsibly, AI could reduce the gap between sophisticated financial tooling and retail access. A user might ask an AI system to evaluate exposure to a sector, compare risk across crypto assets, construct a hedged position, or simulate different market scenarios. In a blockchain context, those strategies could eventually be executed through smart contracts, decentralized exchanges, or tokenized asset platforms.

This could become one of the most important intersections between AI and crypto:

• AI can simplify complex financial decision-making.
• Blockchain can provide transparent execution and settlement.
• Smart contracts can automate rules-based strategies.
• Wallets can give users direct custody and transaction approval.

The result could be a more user-directed form of finance, where individuals have access to tools that were previously limited to institutions. But this future depends on whether AI systems can be made reliable, explainable, and accountable.

The Consumer Protection Challenge

The promise of AI in finance comes with serious risks. Novakovski pointed to a central concern: users may not understand what an AI model is actually doing, or a product may overstate its capabilities.

This is not a theoretical issue. AI-generated financial recommendations can be wrong, incomplete, biased, or based on outdated information. Models may produce confident explanations without sufficient evidence. In crypto, where transactions are often irreversible and assets are highly volatile, a poorly designed AI assistant could cause significant user harm.

Key risks include:

• Misleading marketing: Platforms may imply that an AI model can predict markets more accurately than it can.
• Lack of explainability: Users may not know why a model recommends a specific trade.
• Data quality issues: Outputs can be distorted by incomplete, manipulated, or stale data.
• Automation risk: Users may approve complex strategies without understanding liquidation, leverage, or smart contract exposure.
• Model drift: A system that worked under one market regime may fail under another.

This is why sandbox frameworks and model validation are becoming increasingly important. Before AI financial tools are deployed at scale, they should be tested under controlled conditions, evaluated for accuracy, and reviewed for consumer-facing disclosures. The broader AI governance conversation, including frameworks such as the NIST AI Risk Management Framework, is highly relevant for crypto applications that combine automated decision-making with user funds.

Formal Verification Could Become a Competitive Standard

Novakovski’s reference to verifiability also points toward a deeper shift in crypto product design. In the next phase of DeFi, users may not be satisfied with slogans like “trustless” or “decentralized.” They will increasingly ask: What exactly can be verified?

For protocols, this may mean publishing audits, open-source contracts, risk parameters, proof systems, and formal specifications. For AI-driven financial products, it may mean showing how models are tested, what assumptions they use, and where their limitations are. For wallets, it may mean clearer transaction parsing, safer signing flows, and stronger private key isolation.

Formal verification is not a cure-all. It cannot eliminate every economic or governance risk. But it can reduce ambiguity in mission-critical systems. In financial infrastructure, that matters. A system that can be independently examined is more likely to earn trust from both users and regulators.

What This Means for Crypto Users in 2025

For everyday crypto users, the message is practical: innovation is moving quickly, but self-protection remains essential.

As DeFi and AI converge, users should be cautious with platforms that promise automated returns or highly personalized strategies without explaining the risks. Before interacting with a protocol or AI-assisted trading tool, users should consider:

• Whether the smart contracts are open-source and audited.
• Whether the strategy involves leverage or liquidation risk.
• Whether the AI model provides clear explanations and limitations.
• Whether transaction approvals are understandable before signing.
• Whether assets are held in self-custody or entrusted to a third party.
• Whether the protocol has a history of incidents, governance issues, or oracle failures.

The industry’s direction is positive if transparency, verifiability, and user control remain central. But if AI becomes a marketing layer for opaque financial products, it could recreate many of the same problems DeFi was meant to solve.

DeFi and Regulation Are Not Necessarily Opposites

The most important takeaway from Novakovski’s comments is that DeFi and regulation do not have to exist in permanent conflict. A more productive path is possible: regulators can focus on outcomes such as market fairness, disclosure, consumer protection, and resilience, while builders can design systems that are transparent, auditable, and secure by default.

This is consistent with the broader maturation of the crypto sector. The conversation is moving beyond speculation and toward infrastructure. Tokenization, stablecoin settlement, decentralized derivatives, proof-based systems, and AI-assisted finance are all forcing the industry to define higher standards.

For DeFi to become part of future financial infrastructure, it must demonstrate not only innovation but reliability. For AI to democratize finance, it must empower users without hiding risk behind complexity.

Why Secure Self-Custody Still Matters

As financial tools become more intelligent and on-chain markets become more sophisticated, private key security remains the foundation of user sovereignty. AI may help users analyze opportunities, and DeFi may make markets more transparent, but users still need a secure way to approve transactions and protect assets.

This is where hardware-based self-custody remains highly relevant. OneKey helps users keep private keys offline while interacting with Web3 applications, reducing exposure to online attacks and supporting safer transaction approval habits. In a future where AI agents, DeFi protocols, and smart contracts interact more deeply with user assets, secure self-custody is not just a convenience. It is a core layer of personal financial security.

DeFi’s future will likely be shaped by three principles: transparency, verifiability, and user control. If the industry can align these principles with thoughtful regulation and responsible AI design, decentralized finance may become not an adversary of oversight, but a more open foundation for the next generation of financial markets.