DeFi Protocol Stress Testing
Simulate flash loan attacks, liquidation cascades, and oracle manipulation before they happen on mainnet. Validate protocol security with synthetic market scenarios.
Why Synthetic Data for DeFi Security?
DeFi protocols operate under adversarial conditions. Attackers exploit edge cases that may never appear in historical data. Testing against only past scenarios leaves your protocol vulnerable to novel attacks.
Aleatoric generates synthetic market scenarios that stress test your protocol against conditions that have never occurred - but could tomorrow.
Simulation Capabilities
- Flash Loan Scenarios: Model large capital movements and AMM pool effects
- Liquidation Cascades: Simulate correlated position liquidations
- Oracle Price Feeds: Generate synthetic oracle updates with latency and deviation
- Liquidity Stress: Model sudden withdrawals and death spiral conditions
Use Cases
- Smart Contract Audits: Supplement code review with economic attack simulations
- Parameter Tuning: Validate liquidation thresholds and collateral ratios
- Insurance Fund Sizing: Stress test bad debt scenarios
- Governance Proposals: Model parameter changes before on-chain voting
- MEV Analysis: Simulate sandwich attacks and frontrunning
Integration Options
- Foundry / Hardhat: Feed synthetic data into fork tests
- Tenderly: Combine transaction simulation with market conditions
- Agent-Based Models: Drive multi-agent simulations
- Risk Dashboards: Stream scenarios to monitoring systems
FAQ
Do scenarios cover novel attack patterns?
Yes. Synthetic regimes model counterfactual behaviors that are absent from historical data.
Can we replay the exact same stress test?
Every run includes a deterministic manifest so results are reproducible and auditable.
Secure Your Protocol Before Launch
14-day free trial. Test against scenarios that have not happened yet.
Start Free Trial