Crypto AML & Transaction Monitoring Agent
Use our ongoing transaction monitoring agent to proactively identify and prevent fraudulent activities. Ensure compliance with AML requirements.
No-Code Google Tag Manager Integration and Immediate Start
Incorporating ChainAware.ai into your platform is easy and doesn’t require coding skills.
First, get your unique pixel code from the ChainAware.ai dashboard, then simply copy and paste it into Google Tag Manager. This simple procedure enables you to instantly monitor crucial on-chain analytics and user interactions without needing a developer.
With Google Tag Managerโs user-friendly interface, you can simplify your setup and gain valuable insights into blockchain activities and user behavior right from the start.
Continuous Crypto Transaction Monitoring
Our Transactions Monitoring Agent ensures compliance with regulatory requirements for both CeFi and DeFi enterprises. By examining all inbound and outbound transactions, our platform prevents fraudulent accounts from participating in business transactions.
Whether your enterprise is a CeFi entity utilizing our subscription model or a DeFi application integrating our real-time API, you can authenticate user addresses and ensure the processing of only legitimate transactions. Our algorithms, which have an impressive predictive accuracy of 98%, identify and flag potential fraudulent addresses, facilitating supplementary verifications as needed.
Batch Transaction Monitoring
Batch transaction monitoring is a process where financial transactions are analyzed in groups or batches, typically at the end of a specified period (e.g., daily, weekly, or monthly). This approach differs from real-time transaction monitoring, which analyzes transactions as they occur. In batch transaction monitoring:
- Transactions are collected over a set period
- The collected data is processed and analyzed together
- Suspicious activities or patterns are identified based on predefined rules and algorithms
- Alerts are generated for transactions that meet specific criteria
While some financial institutions still use batch processing, it has some limitations compared to real-time monitoring:
- Delayed detection of suspicious activities
- Potential for fraudulent transactions to be completed before they’re flagged
- Less immediate response to emerging threats or patterns
Many modern financial institutions are moving towards real-time or near-real-time transaction monitoring systems for more effective fraud prevention and AML compliance.
Predictive Power and Comprehensive Coverage with ChainAware.ai
The blockchain industry lacks enriched data, such as credit card histories and device databases, unlike traditional finance. Our Transaction Monitoring Agent fills this gap by analyzing Ethereum, Polygon, and Binance Smart Chain transaction histories. By identifying specific interaction patterns used by scammers, our AI modules predict future fraudulent behaviors.
This predictive approach and real-time monitoring ensure a robust defense against crypto fraud. Trusted by platforms like SmartCredit.io, our solution prevents fraudulent activities such as borrowing, lending, staking, or fiat conversion by blocking flagged addresses.
