AI Agents
This integration is made possible thanks to the innovations of Forta.
Introduction
As Cipherem prepares to launch its testnet, our primary focus will be on native monitoring to ensure robust security and immediate value. Leveraging cutting-edge monitoring solutions, we aim to provide comprehensive protection for our network. This document outlines the initial setup and integration of advanced monitoring for Cipherem, highlighting key detection types and potential AI use cases.
Why Advanced Monitoring?
Advanced monitoring solutions offer a powerful toolset for real-time monitoring and threat detection on blockchain networks. By integrating these solutions, Cipherem can benefit from:
- Real-Time Alerts: Immediate notifications of suspicious activities.
- Advanced Threat Detection: Leveraging machine learning and AI to identify complex threats.
- Scalability: Easily adaptable to evolving blockchain environments.
Potential AI Use Cases
As Cipherem evolves and gains adoption, we will continue to integrate relevant monitoring solutions. The table below outlines potential AI use cases that can be implemented using advanced monitoring techniques:
| Detection Type | Description |
|---|---|
| Multi Gas Threshold | Detect unusual amounts of gas used. |
| Anomalous Tx Value | Detect transactions using very high transaction values. |
| High Volume of Failed Transactions | Detect protocols receiving a high volume of failed transactions. |
| Ownership Transfer | Detect OwnershipTransferred events. |
| Flash Loan | Detect use of flash loans. |
| TimeLock | Detects use of OpenZeppelin Timelock. |
| Detect Upgrade Events | The agent detects upgrade events for specific contracts or broadly. |
| Detect Unusual Block Difficulty | The agent checks for unusual changes in block difficulty. |
| Compound Gov Event Tracker | The agent detects any Compound governance event. |
| High Utilization of Aave Reserves | The agent detects high utilization values on USDC, DAI, and USDT reserves on Aave. |
| MEV Tracker | The agent detects contract interactions within MEV bundles. |
| Recently-created Smart Contracts | Detect transactions to recently created contracts with little history. |
| Contracts Deployed by Contracts | Detect when a contract deploys a new contract. |
| Gnosis Safe Admin Changes | Detect transactions emitting Gnosis Safe events of admin or threshold changes. |
| Initialize | Detects if the initialize function is called multiple times. |
| High Flash Loan Value | Detects if a flash loan with a huge amount is used. |
| Possible Locked NFTs | Detect transactions that may lock an NFT in a contract. |
| Chainkeeper | Detects transactions involving blacklisted addresses. |
| Success txn with Internal Failures | Detect transactions with internal failures. |
| Yearn Strategy without Call Harvest | Detects Yearn strategies that haven't called harvest in a long time. |
| Tornado Cash 1 Example | Detects addresses that sent more than 100 ETH into Tornado Cash in one day. |
| Reentrancy Counter | Detects transactions with multiple nested calls to the same contract. |
| Curve Finance Agents Suit | Provides a list of agents related to Curve contracts. |
| YFI Governance Changes | Detect transactions that change the YFI governance address. |
Further Iteration
Enhancing our GPU zkEVM R&D allows us to significantly improve monitoring capabilities using reinforced learning. The parallel processing power of GPU zkEVM can accelerate detection and analysis, making real-time threat identification more efficient. Here are some ways GPU zkEVM can enhance our monitoring solutions:
- Accelerated Data Processing: GPU zkEVM can handle vast amounts of data simultaneously, enabling faster detection of anomalies and threats.
- Enhanced AI Integration: The computational power of GPUs allows for more sophisticated AI models, improving the accuracy and complexity of threat detection algorithms.
- Scalable Monitoring Solutions: With GPU zkEVM, we can scale our monitoring solutions to handle increased transaction volumes and more complex detection criteria without compromising performance.
Conclusion
By integrating advanced monitoring solutions, Cipherem aims to create a secure and robust environment. As we continue to evolve, ongoing contributions from the community will be vital in enhancing our monitoring capabilities and ensuring the security of our network.
For more information and to get involved, visit our Discord.
Cipherem Team