Chainalysis, a leading data analytics firm, has introduced “Workflows,” a feature designed to democratize automated onchain investigations among non-technical teams. According to statements by Ekim Buyuk, the company’s senior product manager, this innovation seeks to standardize complex processes through predefined templates that eliminate the reliance on custom code.
By integrating these types of tools, investigators can perform in-depth analysis without needing to master programming languages ​​such as SQL or Python, thus optimizing the detection of scam networks that, during the past year 2025, managed to drain approximately 17 billion dollars.
The platform now allows for investigation-level questions about specific actors or digital wallets, resulting in the identification of criminal patterns in record time while reducing the margin for human error. Thanks to this technology, financial entities can scale their surveillance operations against the increasing sophistication of cyberattacks.
The relevance of this launch lies in the growing industrialization of fraud, where the use of artificial intelligence has allowed scams to extract up to 4.5 times more capital from victims. Observing the current landscape, where impersonation schemes and professional money laundering networks predominate, automated onchain investigations emerge as a necessary bulwark for the integrity of the ecosystem.
This automation allows even those amounts that seem insignificant in isolation to be tracked until revealing massive criminal infrastructures capable of compromising billions of dollars in assets.
The end of the technical barrier in massive digital asset surveillance
Through the deployment of these capabilities, organizations achieve operational symmetry against criminals, who are usually the first to adopt technological advances to expand their illicit activities. By centralizing expert knowledge into repeatable workflows, the industry moves away from craft-like dependence on code, allowing for a coordinated response to critical security incidents. This paradigm shift suggests that user protection will no longer depend exclusively on a small group of developers, but on a much broader and more accessible security infrastructure.
Although losses from hacks showed a significant decrease towards the end of December, standing at about 76 million dollars, the persistence of social engineering attacks keeps investors on alert. The massive implementation of automated onchain investigations could positively influence market confidence, reducing volatility caused by panic over systemic vulnerabilities. In this way, as compliance protocols are strengthened, digital assets gain an additional layer of legitimacy, potentially attracting more cautious institutional capital in the face of operational risks.
Can automation mitigate the impact of scams driven by artificial intelligence?
The horizon for 2026 presents itself as a technological battlefield where detection speed will be the determining factor for fund recovery. Faced with a scenario where attackers drain hundreds of wallets simultaneously with low individual amounts to evade radar, automated onchain investigations provide the macroscopic vision necessary to stop these financial bleeds. The ability to react in minutes, rather than days, radically transforms the defensive dynamics of the financial sector digital.
Looking toward the future, the adoption of these analysis templates is expected to become the gold standard for compliance audits and digital forensics. While challenges persist, especially with the sophistication of deepfakes and professional laundering networks, simplifying access to complex data is a firm step toward a more transparent environment. In this way, the industry prepares for a cycle of greater surveillance, where technology is put at the service of justice to safeguard the future of global finance.
