> For the complete documentation index, see [llms.txt](https://ionian.gitbook.io/malda/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://ionian.gitbook.io/malda/malda-protocol/future-roadmap-preview.md). # Future Roadmap Preview ### Scaling in the zkVM Malda has the unique opportunity to continue scaling via outsourcing operations to the zkVM. Currently zkVM provides a 100x scaling from EVM, meaning we can do a 100 times more calculations. As zero-knowledge technology is expected to exponentially accelerate over the next years this will make Malda the most scalable DeFi application. The next major goal of Malda is to outsource all interest-rate calculations to the zkVM. This will enable us to: * Calculate interest rate distribution based on duration of deposits and borrows, favoring long-term depositors for their loyalty. This will not require lockups, maintaining the permissionless and free nature of DeFi * Create use-case specific risk premiums for different strategies * Compartmentalize risk for users based on their activity, behavior and preferences This will enable Malda to operate in the most capital efficient way and serve as the hub of DeFi activity for all types of users. ### Risk Management For the next generation of DeFi protocols we need to take the next step and have a fully programmable verified risk management module. Running the full modeling behind risk management is not feasible on-chain, but zero-knowledge proofs and zkML models will enable to move this to a fully verified environment. Through our partners like RiscZero, Brevis, eOracle and others we are going to be releasing the first decentralized and transparent risk management engine for the Malda money market. The Malda Risk Management model will be open-sourced for users to monitor and in the future anyone can submit a proof to adjust the risk parameters to the correct level. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://ionian.gitbook.io/malda/malda-protocol/future-roadmap-preview.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.