Chainalysis Targets Faster Fraud Detection With New Automation

By José Oramas January 21, 2026 In Blockchain, Chainalysis, Scams

Source:AdobeStock

Chainalysis has launched “Workflows,” a no-code automation tool designed to help investigators and compliance teams perform complex blockchain analysis without specialised programming.
The feature uses prebuilt templates to standardise investigative steps, allowing users to link individual thefts to broader, organised laundering networks more efficiently.
The release addresses a surge in fraudulent activity, with 2025 estimates showing $17 billion lost to crypto scams increasingly powered by AI and deepfakes.

Chainalysis has launched a new automation feature aimed at letting investigators and compliance teams run common blockchain analyses without writing code, as crypto scams increasingly scale through AI and organised laundering networks.

The feature, called Workflows, offers prebuilt templates that standardise recurring investigative steps. Chainalysis said it reduces reliance on custom SQL or Python and makes it easier to repeat the same checks across multiple cases.

Senior product manager Ekim Buyuk said the tool is designed to ask investigation-level questions, such as which wallets, entities, or time windows matter, rather than requiring users to understand data schemas.

We plan to expand to hundreds of no-code workflows over time. These mini applications will enable users to automate even their most complex tasks. We’re prioritizing outcomes our customers care about most.

Chainalysis

Protecting Users From Scams

Chainalysis is framing the release around rising fraud workloads. Buyuk cited company research claiming AI-enabled scams extract 4.5 times more money from victims, arguing that scam networks are quick to adopt new technology and investigators are being asked to monitor more complex patterns.

The company also argues that onchain investigations can miss the true scale of fraud when incidents are viewed one by one. A single theft may look minor, but tracing can link many small losses to broader networks with large aggregate totals.

In a recent report, Chainalysis estimated crypto scams and fraud drained about US$17 billion (AU$26.01 billion) in 2025, driven by impersonation schemes and more industrialised operations using AI, deepfakes and professional money laundering.