Periodic audits are an artefact of a slower era.
The architecture of DeFi security has not kept pace with the architecture of DeFi attacks. A protocol gets audited by two firms over six weeks, ships, and is then re-examined only when a quarterly retainer permits it or an exploit forces it. The threat surface, by contrast, mutates every block. ımyo closes that gap by treating audit as a continuous process — before deployment, and at every block after.
Every code change destined for a Sui or Ethereum silo passes through a swarm of specialised auditing agents, each fine-tuned for a different attack surface. A change is only eligible for promotion when every member of the swarm signs off — and the swarm's signatures are themselves verifiable on-chain (the agents run inside Trusted Execution Environments and emit attestations the Guardian multisig can check).
- Static-analysis agents. Move and Solidity specialists, trained on the full corpus of historical DeFi exploits. Re-entrancy patterns, integer-edge-cases, oracle-staleness, gas-griefing classes.
- Formal-verification agents. Generate specifications from intent, prove invariants over the resulting code, and surface every assumption the code makes that is not explicitly stated.
- Economic-attack simulators. Run agent-based simulations of flash-loan, oracle-manipulation, and liquidation-griefing strategies against the proposed code in a mainnet-fork harness — searching, in continuous loop, for an economically rational way to break the protocol.
A new contract does not reach mainnet until all three swarm classes have produced clean attestations. The cost of a clean attestation in compute is a small fraction of the cost of an exploit in liquidity.
The post-deployment swarm runs forever. It watches the mempool, every state transition, and every oracle update — across both silos — and surfaces anomaly signals in real time. There is no analyst on rotation. The system is the analyst.
- Anomalous-mint detection. Catches unbacked-collateral patterns, unauthorised supply expansion, and the early echo of stablecoin-de-peg dynamics.
- Oracle vigilance. Cross-references 10+ price sources (Chainlink, Pyth, RedStone, spot venues) for every priced asset. Dispersion above the per-asset tolerance triggers an automatic pause on liquidation actions until the spread re-converges.
- Front-running and sandwich-attack telemetry. Order-flow signatures fed into a per-user reputation system; flagged actors are subject to widening spreads or temporary throttling.
- Bridge and cross-chain message audit. Every cross-chain message — even though no collateral crosses — is verified against the originating silo's source of truth. Mismatches trigger Guardian alerts.
A traditional lending protocol waits for the health factor of a position to cross 1.0, then liquidates. ımyo does not wait. Volatility forecasts produced by the Sentinel Swarm look 15–30 minutes ahead and pre-rebalance institutional positions before a hard liquidation event becomes probable. The rebalance is executed at the Cloudflare edge, against the deepest available venue, with explicit policy controls per borrower.
The economic effect is the same as an actively-managed margin desk at a prime broker. The operational cost is a function call.
A swarm of LLMs is only as useful as it is trustworthy. The Auditor agents run inside Trusted Execution Environments (TEEs) — Intel SGX, AMD SEV, and equivalent — which produce cryptographic attestations binding the agent's output to a specific code revision running on specific hardware. The Guardian multisig verifies the attestation before any AI signal is consumed.
The on-chain consequence is that "an AI said so" is no longer a trust assumption. The attestation either checks against the published agent build, or it does not. The result is a security claim that an auditor, regulator, or counter-party can verify without access to ımyo's internal infrastructure.
Continuous attestation is the audit of the future. Periodic audit is a quarterly approximation of it. imyo · operating principle 02
The "kinked" interest rate model that became standard in DeFi lending was a 2020 simplification. ımyo replaces it with an AI-optimised curve that prices in real time against utilisation, market depth, macro vol, Fed-path expectations, and the credit-spread profile of the collateral. The result is that lenders earn the right rate for the risk they are carrying — and borrowers pay the right rate for the liquidity they consume — at every block.
In benign regimes the curve compresses. In stressed regimes it steepens before the stress arrives. The model does not chase the cycle; it forecasts it.