S&P Global Ratings Debuts Risk Framework for DeFi Lending Vaults
S&P Global Ratings has introduced a new framework for assessing DeFi lending vaults, marking its entry into the decentralized finance (DeFi) space. On October 5, 2026, the company launched Vault Risk Assessments (VRAs), designed to help investors evaluate the potential risks associated with their positions in pooled onchain investments. The framework does not provide immediate scores for individual vaults but outlines an analytical approach for future evaluations. S&P emphasized that VRAs are distinct from traditional credit ratings and do not comment on yield levels.
The assessment framework considers six key risk factors: portfolio credit quality, liquidity mismatch, curator risk, blockchain risk, protocol risk, and vault security and governance. This comprehensive approach extends beyond the assets held in the vaults to include the infrastructure and management responsible for these investments. Vaults function similarly to managed fixed income funds, pooling deposits and allocating capital through automated smart contracts or discretionary human management. Depositors receive share tokens representing their proportional claim on assets and returns.
S&P estimates that lending vault deposits surged to approximately $10 billion in September 2026, up from $1.5 billion in September 2024. Despite the transparency offered by blockchain activity, the company notes that strategy and risk disclosures have often been limited. The new framework aims to provide institutions with additional information for investment governance and selection, allowing for consistent comparisons across different vaults.
The launch follows S&P Global's strategic investment in digital asset data provider Kaiko in September 2026 and an agreement to acquire OpenZeppelin on September 17, 2026. These initiatives address different aspects of institutional participation in the crypto space, including market information and onchain security capabilities. However, the framework's effectiveness will ultimately depend on the application of the methodology to specific vaults, which has not yet been demonstrated.