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On-chain situation awareness system offers smart alerts for potential risks. It monitors data and analyzes historical events to ensure prompt responses to data anomalies.
Top features
Monitoring and alerts
Detect potential risks, generate smart alerts, and broadcast data anomalies through ongoing monitoring.
Risk models
Build multiple risk models with an up-to-date security event repository, various indicators, and extensive data.
Topic-focused analysis
Build multiple risk models with an up-to-date security event repository, various indicators, and extensive data.
Risk disclosure
Assess all possible on-chain security risks in one place and ensure prompt disclosure.
Security events topics
We explore different categories of suspicious activities in the DeFi ecosystem and aim to deliver valuable insights
Flash loans
A flash loan is a type of uncollateralized lending, through which hackers can borrow large amounts of money at low cost for attacks and make huge profits.
Crypto mixers
A crypto mixer is a means of making crypto transactions more anonymous and harder to track. However, this feature makes it harder for law enforcement agencies to track down criminals.
Cross-chain bridges
A cross-chain bridge is a type of decentralized application that enables the transfer of assets from one blockchain to another, which opens up new possibilities for cross-chain liquidity.
Gambling
In gambling of this type, participants place bets on whether the last digit of a transaction's hash will be odd or even. Our topic-focused analysis provides support for supervision on blockchain platforms.
Suspicious addresses
Suspicious addresses refer to those involved in large-scale fund movement, phishing, suspicious airdrop, etc. Monitoring them can help discover on-chain risks.
Platform address mining
Platform address mining aims to find unknown exchanges or platforms while identifying different types of addresses on these platforms.
Anomalies on exchanges
Anomalies on exchanges may threaten the security of a customer's assets. Therefore, close monitoring and risk prevention are crucially necessary.
Sybil nodes
Sybil nodes refer to multiple addresses controlled by the same entity. They share highly consistent intentions and masquerade as different identities, posing risks such as arbitrage and vote manipulation.
Capabilities
Data visualization
Present visualized data in pie charts, line charts, and distribution charts, etc.
Live broadcasting
Broadcast suspicious transactions based on multiple data models, warn potential risks in advance, and update users with first-hand information.
Event analysis
Explore suspicious behaviors, trace their sources, and display visual charts to help users identify risks.