Chainalysis has unveiled a new feature called Workflows, aimed at automating on-chain analysis and improving the identification of vulnerabilities across blockchain networks. The company has positioned this release as a way to streamline investigative processes for researchers and security teams that monitor blockchain activity. By reducing the need for manual analysis, the feature is intended to help organizations respond more efficiently to emerging risks in an increasingly complex on-chain environment.
The Workflows feature allows users to trigger pre-configured investigative actions without writing code. As a result, blockchain analysts no longer need to rely heavily on custom-built databases or scripts created using tools such as SQL or Python. Chainalysis has indicated that this approach is designed to lower technical barriers while accelerating investigative timelines, particularly for teams that require consistent and repeatable analysis methods.
Standardizing Investigations Through Pre-Built Templates
According to Chainalysis, the new solution focuses on standardizing commonly used investigative processes. This is achieved through a set of pre-built templates that guide users through established analytical procedures. By offering these structured workflows, the company aims to promote consistency across investigations while reducing the likelihood of human error that can arise during manual analysis.
The Workflows feature incorporates no-code, interactive tools that support detailed blockchain analysis through an intuitive interface. These tools are designed to help users explore transaction histories, behavioral patterns, and network relationships without requiring advanced programming skills. Chainalysis has emphasized that this usability-focused design enables a broader range of professionals to conduct in-depth investigations more effectively.
Initial Workflow Capabilities
At launch, Workflows supports several key analytical processes that are commonly used in blockchain investigations. One of these is time and amount analysis, which helps narrow down potential transaction matches when funds are deposited to or withdrawn from a platform. This capability enables analysts to quickly track transactions of interest by filtering activity based on timing and value thresholds.
Another supported function is common counterparties analysis. This workflow identifies interaction patterns among blockchain users by examining shared transaction counterparts. Such analysis can reveal coordinated behavior, recurring relationships, or hidden networks that may indicate illicit activity.
🚀 Workflows are now live in Chainalysis Data Solutions!
Automate complex blockchain analysis in just a few clicks with the industry's first simple, no-code interface. Trace transactions, expand threat actor networks, and run targeted searches with ease.
Learn more here:… pic.twitter.com/Krg80qni4V
— Chainalysis (@chainalysis) January 20, 2026
The feature also includes targeted searches for wallets and clusters. This capability assists investigators in locating addresses that closely match known behavioral patterns, or fingerprints, associated with malicious actors. By focusing on these identifiable characteristics, analysts can more efficiently flag and monitor potentially harmful entities operating on-chain.
Plans for Expansion and Broader Use Cases
Chainalysis has stated that the current set of workflows represents only the initial phase of the tool’s development. Over time, the company plans to expand the platform to include hundreds of workflows and mini-applications. This expansion is expected to address a wider range of investigative and compliance needs as blockchain ecosystems continue to evolve.
By scaling the number of available workflows, Chainalysis aims to ensure that security teams can adapt quickly to new threats and investigative requirements. The company views automation and modular tooling as essential components for managing the growing volume and complexity of blockchain data.
Context Within a Growing Threat Landscape
The release of Workflows comes amid rising concerns over the scale of blockchain-related crime. Earlier assessments by Chainalysis experts estimated that losses from hacks in 2025 reached approximately $3.4 billion. A significant portion of these losses, reportedly exceeding $2 billion, was attributed to activity linked to North Korean hacking groups.
Against this backdrop, Chainalysis has positioned Workflows as a practical response to escalating security challenges. By automating core investigative tasks and making advanced analysis more accessible, the company aims to help organizations detect threats faster and strengthen defenses across the blockchain ecosystem.
