Government agencies increasingly recognize crypto’s role in fraud. The UK’s National Crime Agency (NCA) has made it a 2025 priority to create “a cryptoasset ecosystem that is increasingly resilient to criminal abuse.”
But if government agencies want to effectively combat fraud, they need to move beyond reactive investigations that chase individual leads across separate departments. Instead, they need to increasingly incorporate macro-level intelligence that reveals patterns and predicts threats before they cause too much damage. It’s a transformation that depends on three critical elements:
- Comprehensive blockchain intelligence that can reveal criminal patterns
- Integration of on-chain and off-chain data
- A data ownership model that enables analytical flexibility
In this article, we will cover how comprehensive blockchain intelligence enables strategic fraud prevention, why it’s important to integrate on-chain with off-chain data, and how a data ownership model can provide analytical flexibility while reducing costs.
Blockchain data as the foundation
Traditional fraud investigations start with a lead: a victim report, a suspicious transaction, a tip from a financial institution. Investigators follow the money, trace connections and build their cases one at a time. This approach worked when criminal operations were smaller, slower and more geographically contained.
But fraud networks now operate at scale across jurisdictions, moving funds through complex webs of fiat and crypto. By the time an individual case reaches investigators, its criminals have often moved on to new schemes with new methods.
The model needs to change. Agencies need to complement their case investigations with comprehensive data that shows the full landscape of criminal activity. Tracing funds from one point to another is no longer sufficient. What’s needed is a macro view that reveals patterns invisible at the lead level: how criminal organizations are adapting their methods, which jurisdictions are currently being favored, where vulnerabilities exist in the financial system, et cetera.
This macro view requires a unified blockchain intelligence dataset that treats all digital assets and blockchains consistently within a single, normalized format. Without this holistic approach, agencies are forced to piece together disparate datasets and build chain-by-chain analytical logic. This fragmented approach limits what can be programmatically queried, restricts the questions agencies can ask and reduces the accuracy of analytical results.
With a holistic blockchain intelligence dataset, each government agency can develop blockchain-agnostic insights specific to their mission, while contributing to a shared understanding of fraud threats. For example:
- A fraud unit could identify criminal address clusters and track how scammers move stolen funds.
- A financial intelligence unit could analyze cross-border flows to map money laundering routes.
- A policy team could examine which jurisdictions criminals favor for specific crime types.
Elliptic Data Fabric is that holistic blockchain intelligence dataset. It covers illicit activity, wallet ownership, on-chain fund flows and geolocation signals, all in a dataset that can be integrated directly into existing government workflows. Rather than agencies building separate analytical capabilities from scratch, they can own a curated dataset that enables attribution, illicit finance tracking and pattern analysis to identify emerging criminal behavior across the entire digital asset ecosystem.
On-chain needs off-chain and vice versa
Criminals move money wherever they’re least likely to get caught, whether that’s through fiat or digital assets. Law enforcement agencies need to be able to switch between both worlds as easily as criminals do. This is important because traditional financial institutions (TradFi) hold crucial pieces of the investigative puzzle: KYC data that reveals real-world identities, transaction records that show fund origins and destinations and compliance intelligence that identifies suspicious patterns.
But TradFi often can’t see what happens when funds move through blockchain networks. Blockchain intelligence is the missing piece that provides comprehensive transaction data, wallet clustering analysis and visibility into on-chain activity patterns. Here’s an example to demonstrate the power of comprehensive blockchain intelligence leading to a direct result:
Elliptic’s blockchain data enabled messaging company Telegram to shut down Huione Guarantee and Xinbi Guarantee, the two largest illicit online marketplaces of all time, which together facilitated over $35 billion in criminal transactions. Government agencies with access to the same comprehensive blockchain intelligence can identify and disrupt criminal infrastructure with similar effectiveness.
Data ownership vs platform dependency
The transition from tactical to strategic requires rethinking how agencies access and use blockchain intelligence. Most blockchain intelligence datasets push agencies into expensive per-seat licensing arrangements where they must adapt their workflows to third-party platforms. Not only does this make agencies dependent on external systems, but costs can escalate rapidly if an agency wants to give access to a growing number of employees.
It’s more strategic for an agency to directly own comprehensive blockchain datasets. This allows an agency to scale its analytical capacity without proportional cost increases, so more investigators can incorporate blockchain intelligence into their cases. When a fraud unit, financial intelligence team and policy group all need to analyze the same criminal network, they can do so at the same time without additional licensing fees.
But it’s about more than cost. When an agency owns its blockchain data, its investigators can use their existing analytical workflows instead of having to conform to third-party platform constraints. Investigators can build custom queries, integrate blockchain intelligence with existing case management systems and develop analytical approaches tailored to their specific investigative priorities.
This flexibility will only become more powerful as agencies adopt large language models (LLM) for data analysis. Instead of being limited to predefined dashboard views or standardized reports, agencies can apply advanced analytics, natural language queries and machine learning models directly to comprehensive blockchain datasets.
Strategic public-private partnerships
The transformation from tactical to strategic fraud prevention requires public-private partnerships that move from compliance-driven relationships to genuine collaboration. Private sector organizations bring operational intelligence about emerging criminal methods, real-time visibility into attack patterns and technical expertise about new financial technologies. Government agencies contribute legal authorities, cross-jurisdictional coordination and policy frameworks that shape the overall threat environment.
The most effective partnerships create feedback loops that benefit both public and private sectors. When government agencies share strategic intelligence about criminal trends, financial institutions can adjust their risk models and detection systems proactively. When private sector organizations provide operational intelligence about new attack methods, law enforcement can develop countermeasures and alert potential targets.
Additionally, international coordination becomes essential as criminal networks operate globally while law enforcement remains largely jurisdictional. Strategic partnerships can bridge these gaps by sharing intelligence about cross-border criminal operations, coordinating responses to multinational threats and developing common standards for data sharing and analysis.
The measure of success shifts from traditional metrics like seizures and arrests to prevention-focused metrics: reduction in victim losses, disruption of criminal infrastructure and deterrent effects on organized crime groups. These outcomes require not just coordination during specific investigations, but sustained collaboration between agencies internationally, as well as public and private organizations.
From reactive to proactive
Government agencies that want to strategically prevent fraud need to change how they think about financial crime in an interconnected world. They need comprehensive blockchain data, collaborative frameworks and a data ownership model to stay ahead of criminal innovation. The agencies that make this transition will be best positioned to protect their citizens and financial systems from increasingly sophisticated fraud.
Elliptic Data Fabric provides the comprehensive blockchain intelligence that enables strategic fraud prevention. Contact us to learn how your agency can move from tactical to strategic.
