Written by: nour
Compiled by: Chopper, Foresight News
During the DeFi Summer of 2020, Andre Cronje was launching new protocols almost every week, with Yearn, Solidly, and a host of other experimental projects emerging. Unfortunately, many of these projects fell victim to contract vulnerabilities and economic attacks, resulting in losses. But the ones that survived have become some of the most important protocols today.
The problem is, that era left a psychological scar on the entire industry. The industry's focus shifted dramatically, pouring vast resources into security. Multiple audits, audit competitions, months of review for each version, all just to validate a new idea with no market fit. I think most people don't realize how much this stifled the spirit of experimentation. No one will spend $500,000 and wait 6 months for an audit for an unproven idea. So everyone just clones verified designs and calls it innovation. DeFi innovation hasn't died; it's just that the incentives are killing it.
And this is changing because AI is driving down security costs at an astonishing rate.
AI audits used to be laughably shallow, basically only flagging surface-level issues like reentrancy and precision loss that any competent auditor could spot. But the new generation of tools is completely different. Tools like Nemesis can already detect complex execution flow vulnerabilities and economic attacks, demonstrating a stunning depth of contextual understanding of the protocol and its operating environment. One particularly standout feature of Nemesis is how it handles false positives: it uses multiple agents to detect issues with different methods, then has another independent agent judge the results, filtering out false positives based on contextual understanding of the protocol's logic and goals. It truly understands nuances, like in which scenarios reentrancy is acceptable and when it's truly dangerous—something even experienced human auditors often get wrong.
Nemesis is also incredibly simple, requiring just three Markdown files added as a skill to Claude Code. Other tools go even further, some integrating symbolic execution and static analysis, others even automatically writing formal verification specifications and verifying the code. Formal verification is becoming accessible to everyone.
But these are just first-generation tools. The models themselves are continuously evolving. Anthropic's upcoming Mythos is expected to far surpass the capabilities of Opus 4.6. You don't need to make any changes; just run Nemesis on Mythos and immediately get stronger results.
Combined with Cyfrin's Battlechain, the entire security workflow is completely restructured: write code → audit with AI tools → deploy to Battlechain → live attack and defense testing → redeploy to mainnet.
The beauty of Battlechain is that it eliminates the implied 'safety expectation' of the Ethereum mainnet. All users bridging in are fully aware of the risks they are taking. It also provides a natural focal point for AI auditors, no longer needing to search for a needle in the mainnet haystack. Its safe harbor framework stipulates that 10% of stolen funds can be a legitimate bounty, creating an economic incentive that drives the development of more powerful attack tools. Essentially, this is competition similar to MEV, but happening in the security realm. AI agents will probe every new deployment at top speed, racing to find vulnerabilities.
The future process for DeFi protocol development will be:
- Write the protocol
- Complete an AI audit in minutes
- Deploy to Battlechain with a small amount of capital
- Get automatically targeted by competing AI agents
- Get attacked within minutes
- Recover 90% of funds
- Fix the vulnerability
- Redeploy
The entire cycle, from writing code to being battle-tested and deployed on the mainnet, is compressed from months to potentially just hours, with costs almost negligible compared to traditional audits.
The ultimate line of defense will be wallet-level AI auditing. User wallets can integrate the same AI audit tools at the transaction signing stage. Before signing each transaction, the AI will audit the target contract code, read state variables to link all relevant contracts, map out the protocol topology, understand the context, audit both the contract and the user's transaction input, and provide recommendations in the confirmation pop-up. Every user will ultimately run their own professional-grade audit agent, protecting themselves from rugs, team negligence, or malicious frontends.
Agents will protect DeFi protocols from all angles: development, public chain, and user layers. This reopens the entire experimental design space. Ideas that were once economically unviable due to high security costs can finally be tested. One person in their bedroom can iterate quickly and create billion-dollar protocols, just as Andre and others did in 2020. The era of live testing is back.
