How Hypernative's real-time capabilities detected an oracle setup issue that led to a bad debt situation
The Hypernative Platform recently helped mitigate an incident on a permissionless and non-custodial lending protocol, illustrating how real-time monitoring can address financial risks in DeFi.
Earlier this month, Hypernative detected a bad debt issue on a lending protocol caused by an incorrect oracle setup that resulted in a loan amount that far exceeded the expected repayment. A decimal mistake in oracle price setting led to a loan that worth more than six times the value of collateral. Hypernative immediately notified the protocol's team, preventing further damage.
The Hypernative Platform accurately identifies a broad range of financial risks, including oracle manipulations, significant withdrawals, depegging, large flashloans, and sandwich attacks. The incident highlights the system's capabilities for detecting:
In addition to financial risks, the Hypernative Platform can also detect security, operational, technical, and governance risks. The system uses battle-tested, sophisticated machine learning models, heuristics, simulations, and graph-based detections to identify threats with high accuracy and give projects precious minutes to respond before the damage is done.
Lending protocols like Euler, ZeroLend, and Radiant are among the 150+ Web3 projects that already rely on Hypernative’s real-time enterprise-grade platform that monitors over $37B worth of digital assets across more than 40 chains. The solution detected 99.5% of hacks last year with less than 0.001% false positive rate and saved more than $500M of funds to date.
If you're managing or handling large amounts of digital assets, proactive monitoring is essential. Hypernative offers a customizable and highly adaptive platform for financial risk detection, helping you stay ahead of potential threats and preserve operational integrity.
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