AMLBot, a cryptocurrency forensics and compliance firm, has launched a new artificial intelligence-powered tool called AI Tracer that allows users to perform self-service blockchain investigations without requiring specialist knowledge. The tool is designed to map the visible movement of funds from a given transaction hash across multiple blockchain networks, making it easier for individuals and organizations to follow digital assets even after they have been stolen, moved through bridges, or split across several wallets.
Transforming Blockchain Tracing
Traditionally, tracing cryptocurrency transactions has been a complex task reserved for forensic experts. The public nature of blockchain technology means that every transaction is visible, but understanding where funds originate, where they go, and which intermediaries are involved requires powerful analytics tools and deep expertise. Law enforcement agencies, financial institutions, and even everyday crypto users have often struggled to piece together transaction trails, especially when assets are exchanged across different blockchains. The emergence of cross-chain bridges and decentralized exchanges has further complicated this process, as funds can be swapped, wrapped, and transferred across ecosystems in a matter of seconds.
AMLBot's AI Tracer aims to bridge this gap. It offers a user-friendly interface that accepts a transaction hash and automatically generates a visual representation of the funds' journey. The company describes the tool as a 'self-service blockchain analysis solution' that can be used by anyone who needs to understand transaction paths without having to become a blockchain forensics expert. The tool is particularly useful for tracking stolen assets, as it can trace funds from the original theft address through intermediary wallets and, potentially, to an exchange or other real-world entity.
Key Features and Process
The technology behind AI Tracer is built around an AI engine that traverses the transaction graph in an automated manner. According to AMLBot, the AI starts with the initial address and follows the flow of funds through intermediate wallets until it reaches whatever endpoint the money reached. Along the way, the system matches every wallet against known entity labels, such as exchanges, services, and flagged addresses. This automated process eliminates the need for manual deep dives into blockchain explorers and allows users to generate a preliminary trail in a fraction of the time it would take a human analyst.
One notable feature is the tool's ability to trace assets that have moved through bridges. Cross-chain bridges allow users to transfer tokens from one blockchain to another, and these transfers often create complex transaction histories. AI Tracer is designed to follow the movement of funds across these bridges, as well as when funds are split among multiple wallets. This makes it a useful tool for investigating sophisticated money-laundering schemes that rely on obfuscation techniques.
Supported Networks and Pricing
The new service supports a wide array of blockchain networks. At launch, the supported networks include Bitcoin, Bitcoin Cash, Litecoin, TRON, Ethereum, BNB Chain, Ethereum Classic, Polygon, Arbitrum, Base, Optimism, Solana, Cardano, and Ripple. This broad coverage allows users to trace assets across many of the most popular blockchains used in both legitimate transactions and criminal activity. AMLBot says that AI Tracer offers a free check for users who want to test the tool, while paid plans provide higher limits on the number of automated checks.
Limitations and Considerations
However, AMLBot is transparent about what the tool cannot do. AI Tracer cannot see transfers that occur between internal exchange accounts, as these are typically off-chain and not recorded on the blockchain. It also cannot determine why a payment was made, freeze assets, or guarantee recovery of stolen digital currency. The reports produced by the tool are intended to serve as a starting point for formal investigations and do not replace an audit, legal process, or certified forensic analysis. Users seeking to take legal action will likely need to complement AI Tracer's findings with additional evidence and expert testimony.
Who Can Benefit
AMLBot has positioned AI Tracer as a versatile tool for a range of user groups. Journalists and researchers can use it to investigate on-chain cash flows and uncover potential wrongdoing. Traders and cryptocurrency enthusiasts can use it to verify the provenance of assets they receive or transact with. Law enforcement agents investigating crypto-related crimes can use the tool to build an initial picture of how stolen or illicit funds moved through the blockchain. Independent investigators and compliance teams at financial institutions can also integrate the tool into their due diligence processes, helping them identify suspicious activity more efficiently.
Industry Context
The launch of AI Tracer lands in an environment where crypto-related crime remains a significant concern. AMLBot previously said that social engineering drove 65% of the crypto cases it probed in 2025. Social engineering attacks, which manipulate individuals into revealing private keys or transferring assets to criminals, often result in stolen funds that are quickly moved across exchanges and bridges. Tools like AI Tracer could empower victims and investigators to follow those funds and potentially identify the perpetrators or expose the laundering trails.
AI Tracer also reflects a broader trend in the blockchain analytics industry. Companies such as Chainalysis, Elliptic, and TRM Labs have long dominated the market with enterprise-grade investigation platforms. These platforms are powerful but often costly and require specialized training to operate effectively. By offering a self-service, AI-driven alternative, AMLBot is aiming to democratize access to blockchain intelligence. The company's move could encourage other firms to develop simpler, more accessible tools for non-experts, ultimately increasing transparency in the cryptocurrency ecosystem.
Still, the increasing automation of blockchain forensics comes with caveats. AI-driven reports may miss contextual information or interpret ambiguous on-chain data incorrectly. While automated tools can flag suspicious addresses, they cannot replace human judgment or the legal process. AMLBot does not claim to offer a complete solution; rather, it frames AI Tracer as a gateway to more thorough investigation. The reports are meant to guide users toward deeper analysis, whether by law enforcement agencies or professional forensic investigators.
The introduction of AI Tracer marks another step forward in the evolution of cryptocurrency compliance and security. As blockchain technology continues to be adopted by mainstream financial institutions, the ability to trace funds on-chain will become increasingly important. AMLBot's tool is a promising addition to the growing suite of self-service solutions aimed at making blockchain investigations more accessible. Whether it will be enough to address the complexities of cross-chain crime, however, remains to be seen.
Source:Cointelegraph News