Crypto forensics and compliance company AMLBot has launched a new tool called AI Tracer, a self-service blockchain analysis product that maps the movement of digital assets from a transaction hash across multiple blockchain networks. The tool is designed to make transaction tracing accessible to users who do not have specialist knowledge or access to expensive forensic software. AMLBot says the AI Tracer addresses the current need for both specialist software and specialized knowledge to trace cryptocurrency transactions, a barrier that has long prevented many individuals and smaller organizations from conducting their own investigations.
The announcement positions AI Tracer as an automated solution that can follow funds even when they pass through cross-chain bridges or when the assets are split among multiple wallets. In a press release shared with media outlets, the company explained the underlying process: “The process is automatic: the AI traverses the transaction graph, follows the movement of funds from the starting address through intermediate wallets toward whatever endpoint the money reached, and matches known entity labels — exchanges, services, flagged addresses — against every wallet it encounters.”
Why self-service blockchain analysis matters
Cryptocurrency investigations have long been dominated by specialized firms and law enforcement agencies with proprietary tools and years of experience. Ordinary users who fall victim to scams, theft, or ransomware often had few options beyond filing a police report and hoping for the best. Even when they wanted to track their own funds, the technical complexity of reading raw blockchain data, understanding transaction graph analysis, and interpreting wallet behavior proved overwhelming. AMLBot's AI Tracer aims to lower that barrier by automating the most difficult parts of transaction tracing.
The tool is particularly relevant in a landscape where crypto-related crime remains a persistent concern. According to various industry reports, billions of dollars in cryptocurrency are stolen or lost to fraud annually. Scams, hacks, and social engineering attacks continue to evolve, and the ability to trace funds quickly can mean the difference between recovery and permanent loss. AMLBot itself revealed in a related report that social engineering drove 65% of the crypto cases it investigated in 2025, highlighting how human manipulation remains one of the most common vectors for crypto asset theft. A tool that empowers victims to trace their funds independently could significantly improve their chances of recovering assets or at least providing law enforcement with actionable evidence.
How AI Tracer works
According to AMLBot, the AI Tracer operates by taking a single transaction hash as the starting point. From that hash, the AI reconstructs the movement of funds through the blockchain network, identifying every wallet that receives a portion of the initial amount. The system then continues its traversal, following the assets as they are transferred from one address to another. This process is not limited to simple linear transfers; the AI is also capable of following funds that are split among multiple wallets or moved through cross-chain bridges, which have historically been a major challenge for manual tracing.
At each step, the AI matches the encountered addresses against a database of known entity labels. This includes cryptocurrency exchanges, payment services, mixing services, and addresses that have been flagged as suspicious or associated with criminal activity. By doing so, the tool can quickly reveal whether the funds ended up at a major exchange, which could potentially be subject to a legal request for account information, or whether they were routed to a mixer or privacy wallet, which may indicate an attempt to obfuscate the trail.
AMLBot emphasized that the AI Tracer is designed to work automatically, meaning users do not need to manually analyze transaction graphs or understand the intricacies of blockchain technology. The user simply inputs a transaction hash, and the AI Tracer produces a map of fund movements with labeled wallets and flagged addresses. This is a significant departure from traditional forensic tools, which often require analysts to construct their own graphs and interpret raw data.
Limitations and disclaimers
Despite its powerful capabilities, AMLBot is transparent about what the AI Tracer cannot do. The tool cannot see transfers between internal exchange accounts, meaning that once funds are deposited into an exchange's central wallet, the AI cannot track how they are moved internally within that exchange's ledgers. It also cannot determine why a payment was made, as blockchain transactions carry no inherent semantic meaning beyond the transfer of value. Additionally, the AI Tracer cannot freeze assets or guarantee recovery. Its reports are intended to serve as a starting point for investigations, not as a replacement for a formal audit, legal process, or law enforcement action.
This caveat is important for setting realistic expectations. While AI Tracer can significantly streamline the initial stages of an investigation, recovering stolen funds often requires legal authority, cooperation from exchanges, court orders, or seizure warrants. The tool provides the necessary evidence trail that can be used to support such actions, but the final outcome is never guaranteed. AMLBot deliberately frames the tool as an investigative aid rather than a complete solution, which helps users understand its role in the broader ecosystem of crypto forensics.
Pricing and supported networks
AMLBot has structured AI Tracer to be accessible to a wide range of users. The tool offers a free check that allows users to run a limited number of automated traces without charge. For those who need more extensive investigation capabilities, there are paid plans with higher limits on the number of automated checks. The exact pricing tiers were not disclosed in the announcement, but the freemium model makes it easy for newcomers to test the service and understand its value before committing to a subscription.
The AI Tracer currently supports a substantial list of blockchain networks: Bitcoin, Bitcoin Cash, Litecoin, TRON, Ethereum, BNB Chain, Ethereum Classic, Polygon, Arbitrum, Base, Optimism, Solana, Cardano, and Ripple. This coverage includes some of the most widely used cryptocurrencies and smart contract platforms, as well as several layer-2 scaling solutions. The inclusion of multiple chains reflects the reality that crypto assets often move across different networks, and a tracing tool that only works on a single chain would be of limited use in modern investigations. By supporting cross-chain tracing through bridges, AI Tracer aims to provide a more complete picture of where funds have gone.
Who can benefit from AI Tracer
AMLBot said the tool is suitable for journalists, researchers, traders, and ordinary cryptocurrency users who want to read transaction paths and understand how funds move on the blockchain. For example, a journalist investigating a potential money laundering operation could use AI Tracer to see whether funds from a suspicious address were routed to a known exchange. Similarly, a trader who fell victim to a phishing scam could trace their stolen assets and provide the resulting report to the exchange or law enforcement.
The tool is also aimed at law enforcement agents investigating crypto crime. Police departments, regulatory bodies, and financial intelligence units often lack the resources to use expensive forensic software from established providers. AI Tracer offers a more affordable and accessible alternative that can help officers conduct preliminary investigations before deciding whether to escalate a case. Independent investigators and compliance teams at financial institutions may also find value in the tool, as they can use it to perform due diligence on suspicious transactions without needing to rely on external experts for every case.
The growing role of AI in crypto forensics
The launch of AI Tracer reflects a broader trend towards the integration of artificial intelligence into blockchain analytics. Traditional forensic tools rely heavily on manual input and heuristic rules, which can be slow and prone to error when dealing with complex transaction patterns. AI-based systems can sift through vast amounts of blockchain data much faster, identify patterns that human analysts might miss, and automate the repetitive tasks involved in tracing funds.
AI is also becoming increasingly important in the fight against crypto crime because criminals themselves are using more sophisticated techniques. Cross-chain bridges, privacy protocols, and decentralized mixers make it harder to follow money trails. However, these technologies are not completely opaque, and AI models can learn to recognize fingerprints left by them. By leveraging AI, AMLBot aims to stay ahead of these tactics and provide users with a tool that can keep up with the evolving landscape of crypto-enabled crime.
The emphasis on self-service is another significant shift. In the past, blockchain forensic capabilities were largely confined to large corporations and government agencies. The democratization of this technology through tools like AI Tracer empowers individuals and small organizations to conduct their own investigations, leveling the playing field. This is especially valuable for victims of crypto theft who were previously left with little recourse beyond reporting the crime to authorities, who might have limited resources to investigate every case.
Background on AMLBot and its previous findings
AMLBot has established itself as a proactive player in the crypto compliance space. The company previously published reports highlighting emerging threats and trends in cryptocurrency crime. One of its notable findings was that social engineering was responsible for a significant majority of the cases it investigated in 2025, accounting for 65% of all cases. This statistic underscores the need not only for better security practices but also for tools that can help victims trace funds after a theft has occurred. Social engineering attacks, which include phishing, romance scams, and impersonation, often trick users into sending their assets to addresses controlled by criminals. Once the funds are gone, victims are often left with no way to follow them.
By launching AI Tracer, AMLBot is directly addressing that pain point. The tool gives victims a way to take action immediately after an unauthorized transaction, rather than having to wait for law enforcement to become involved. This proactive approach is likely to be welcomed by the cryptocurrency community, where self-custody and individual responsibility are highly valued.
The company's focus on self-service blockchain investigation also aligns with the broader decentralization ethos of the crypto industry. Rather than relying on centralized authorities to provide security, users are increasingly expected to take precautionary measures and, when necessary, conduct their own research. AI Tracer fits into this narrative by providing a tool that is both user-friendly and comprehensive enough to be used in professional investigations.
Practical applications and examples
To understand the potential impact of AI Tracer, consider a typical scenario involving a stolen non-fungible token (NFT) or a phishing attack. A user might receive a fake email from what appears to be their wallet provider, instructing them to connect their wallet to a malicious smart contract. Once the user approves the transaction, the attacker drains the wallet of all high-value assets. In the past, the victim would have had to manually look up the destination address on a block explorer and try to track the funds from there, which is a daunting task for someone without technical training. With AI Tracer, the victim can input the transaction hash of the theft and receive a clear visualization of where the assets went, including any intermediary wallets and the final exchange or service where the funds were deposited.
Another use case involves compliance teams at financial institutions that need to screen transactions for potential money laundering. When a customer deposits cryptocurrency that originated from a suspicious address, the compliance team can use AI Tracer to trace the source of the funds. The automated nature of the tool means that analysts can quickly assess multiple transactions in a short amount of time, improving the efficiency of their investigations.
Even for law enforcement, the tool can be a valuable triage mechanism. Officers can run a preliminary trace using AI Tracer to determine whether a reported crypto theft is worth opening a full investigation. If the AI Tracer report shows that the funds were moved to a foreign exchange that is unlikely to cooperate with a request from the officer's jurisdiction, the case might be deprioritized. Conversely, if the funds stopped at a domestic exchange, the officer can attach the AI Tracer report to a subpoena or a letter of request to the exchange, providing a clear basis for legal action.
The future of blockchain investigations
As blockchain technology continues to evolve, so too will the methods used to trace transactions. The rise of privacy-focused cryptocurrencies, layer-2 solutions, and cross-chain protocols presents new challenges for forensic professionals. However, AI-powered tools like AMLBot's AI Tracer are likely to become more sophisticated as they learn from increasing amounts of data. The prompt for such innovation is driven by the sheer volume of crypto-related crime, which shows no signs of abating. In 2025 alone, the total value of cryptocurrency stolen in hacks and exploits reached significant levels, and the number of individual victims of scams continues to grow.
The introduction of self-service AI tools could also change the way that exchanges and other service providers handle fraudulent activity. If customers can bring them detailed tracing reports, exchanges may be more willing to freeze accounts and assist in recovery efforts. This would create a more collaborative ecosystem where all participants contribute to reducing crypto crime.
AMLBot's AI Tracer is currently available with a free check option, making it easy for journalists, researchers, and individual users to explore its capabilities. The company is expected to continue expanding the list of supported networks and improving the AI's ability to detect and label suspicious entities. While the tool has clear limitations, its launch marks a meaningful step towards making blockchain forensic analysis more inclusive and accessible.
Source:Cointelegraph News