L2BEAT, an open-source L2 data analysis website, has proposed a risk framework aimed at evaluating the security of data availability (DA) solutions. This framework is particularly relevant to Ethereum, as the security assumptions of external DA providers depend not only on the inherent characteristics of the DA solution itself, but also on how its security attributes match the data proofs published to the DA bridge on Ethereum.

The proposed risk framework includes several key measures. Economic security measures the degree of trust people have in the majority consensus, i.e., how much funds a committee needs to successfully deceive the DA bridge. Fraud detection mechanism category measures the effectiveness of users' self-protection when facing a malicious majority of committee members, such as validators. Proof security assesses the ability of the DA bridge to verify data commitments without introducing additional trust assumptions. The exit window standard examines the scalability of the DA bridge, with particular attention to the withdrawal mechanism and the time allowed for users to exit during upgrades. Accessibility measures the convenience of directly accessing data from the Ethereum network.

This risk framework is designed to provide a comprehensive evaluation of DA solutions, taking into account various aspects of their security and functionality. By assessing these measures, users can make informed decisions about which DA solutions to use and how to configure them to ensure the security and integrity of their data.

The proposed risk framework is particularly relevant to Ethereum L2, as it is designed to evaluate the security of DA solutions integrated into the Ethereum protocol (confirmed) and those not integrated. This category is not applicable to sovereign Rollups that independently use the DA layer.

In conclusion, the proposed risk framework by L2BEAT provides a valuable tool for evaluating the security of DA solutions, particularly in the context of Ethereum L2. By assessing the various measures outlined in the framework, users can ensure the security and integrity of their data and make informed decisions about which DA solutions to use.