- Chainalysis has launched “Workflows,” a no-code automation device designed to assist investigators and compliance groups carry out complicated blockchain evaluation with out specialised programming.
- The function makes use of prebuilt templates to standardise investigative steps, permitting customers to hyperlink particular person thefts to broader, organised laundering networks extra effectively.
- The discharge addresses a surge in fraudulent exercise, with 2025 estimates displaying $17 billion misplaced to crypto scams more and more powered by AI and deepfakes.
Chainalysis has launched a brand new automation function aimed toward letting investigators and compliance groups run widespread blockchain analyses with out writing code, as crypto scams more and more scale by AI and organised laundering networks.
The feature, known as Workflows, gives prebuilt templates that standardise recurring investigative steps. Chainalysis mentioned it reduces reliance on customized SQL or Python and makes it simpler to repeat the identical checks throughout a number of instances.
Senior product supervisor Ekim Buyuk mentioned the device is designed to ask investigation-level questions, equivalent to which wallets, entities, or time home windows matter, quite than requiring customers to grasp information schemas.
We plan to broaden to lots of of no-code workflows over time. These mini purposes will allow customers to automate even their most complicated duties. We’re prioritizing outcomes our prospects care about most.
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Defending Customers From Scams
Chainalysis is framing the discharge round rising fraud workloads. Buyuk cited firm analysis claiming AI-enabled scams extract 4.5 occasions extra money from victims, arguing that rip-off networks are fast to undertake new know-how and investigators are being requested to watch extra complicated patterns.
The corporate additionally argues that onchain investigations can miss the true scale of fraud when incidents are considered one after the other. A single theft might look minor, however tracing can hyperlink many small losses to broader networks with massive combination totals.
In a latest report, Chainalysis estimated crypto scams and fraud drained about US$17 billion (AU$26.01 billion) in 2025, pushed by impersonation schemes and extra industrialised operations utilizing AI, deepfakes {and professional} cash laundering.
Learn extra: From Metaverse to Institutional Money: Why Real-World Assets Are Blockchain’s Real Breakthrough
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