Key insights from EU-SOCTA 2025 and how our database can help:
1. Global reach of criminal networks
- Criminal organisations operate across multiple jurisdictions, leveraging cybercriminal activities and hybrid strategies to hinder law enforcement efforts and weaken cooperation between investigative authorities.
- This transnational presence increases the risk of legitimate businesses unknowingly engaging with compromised entities.
» A database that consolidates international data with a local focus is crucial for identifying and tracking entities and individuals associated with these transnational networks.
Organised crime groups infiltrate legitimate businesses, using shell companies and local intermediaries to hide their illegal activities. While global checks—such as international sanctions lists, global watchlists, and publicly available global databases—can identify major risks, they often miss local, more covert connections. These connections may involve smaller-scale operations or individuals operating in limited geographic areas who evade standard control mechanisms. Through their work, local investigative authorities bridge this gap in oversight, providing deeper insights into regional activities and helping businesses detect hidden ties to criminal networks. To effectively identify high-risk entities before engaging with them, businesses and financial institutions need multi-layered data that integrates both international records and detailed local information.
A comprehensive database that collects information on criminal activities across jurisdictions enhances the accuracy of assessments, exposes clandestine networks, and strengthens due diligence efforts. It also enables authorities and operators to detect patterns of illicit activity and disrupt associated operations, making it an essential tool in the fight against organised crime.
2. Infiltration into legal economies
- Criminal organisations are increasingly embedding themselves within legitimate businesses, using them as fronts for money laundering and other illicit activities.
- This growing infiltration highlights the urgent need for enhanced due diligence to detect and mitigate risks when engaging with business partners.
» Enhanced due diligence is necessary to uncover hidden affiliations between legitimate enterprises and criminal entities. A database with detailed local intelligence can reveal such covert connections.
Criminal networks frequently exploit legal business structures (LBS) as a tool to facilitate and conceal illegal activities, including money laundering, fraud, and intellectual property crimes. LBS play a crucial role in various forms of organised crime, often serving as a front for criminal operations or as a means to launder illicit profits. These businesses can range from shell companies used to move illegal goods to fully controlled enterprises that masquerade as legitimate operations. The exploitation of LBS is widespread across multiple industries, with particular vulnerabilities in sectors such as construction, real estate, and logistics. Criminal networks can infiltrate LBS at different levels, from covert control and manipulation to coercing key executives or establishing entirely criminal-run companies.
Given the complexity and sophistication of these operations, it’s essential for AML/CFT efforts to leverage accurate, up-to-date data that can identify potential risks within these structures. As a data provider focusing on organized crime with local source coverage, we play a crucial role in enabling financial institutions and law enforcement agencies to uncover these illicit activities.
What needs to be checked?
To mitigate risks when engaging with business partners and clients, enhanced due diligence should focus on:
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Ownership & beneficial owners – Screening the UBO, company, and key individuals to uncover hidden ties to criminal networks, as organized crime often operates behind complex corporate structures.
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Adverse Media & legal records – Identifying past legal issues, regulatory sanctions, or negative news linked to illicit activities.
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Financial transactions & unusual patterns – Detecting signs of money laundering, fraud, or links to high-risk jurisdictions and entities.
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Industry & geographical risks – Assessing sector-specific vulnerabilities (e.g., construction, real estate, logistics) and exposure to high-risk regions.
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Third-party relationships – Evaluating suppliers, intermediaries, and business partners for indirect criminal ties.
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Political & criminal links – Identifying connections to politically exposed persons (PEPs) or known criminal networks.
By integrating international records with local intelligence, due diligence efforts become more effective at detecting hidden risks before engagement.
3. Technological exploitation
- Criminal organizations are swiftly integrating emerging technologies, including artificial intelligence (AI), to optimize their operations.
- AI is being used to orchestrate complex fraud schemes, evade detection systems, and generate malicious content, such as deepfakes.
» Continuous monitoring and real-time data are essential to detect and respond to rapidly evolving threats. A database offering continuous updates can be instrumental in identifying and mitigating such risks.
As AI and emerging technologies like generative AI and blockchain are increasingly exploited by criminals for money laundering, terrorist financing, and other financial crimes, it becomes crucial to adopt the right solutions and tools to stay ahead of these threats.
The increasing digitalization of financial systems, alongside the rise of emerging technologies like cryptocurrencies, decentralized finance (DeFi), and AI-driven automation, has created new opportunities for criminals to launder money and obscure illicit financial flows. While cash still plays a significant role in traditional money laundering schemes, digital currencies and privacy-enhancing technologies, such as coin mixing and crypto-swapping, have become digital cloaks that conceal the origin and movement of illicit funds. These technologies allow criminals to obscure transactions, making it more difficult for operators to trace financial activities. DeFi platforms, which provide decentralized financial services, have also become targets for exploitation by criminals seeking to evade traditional financial oversight.
To counter these challenges, technology must be used strategically to enhance screening efficiency and risk detection. High-quality data is essential for improving risk identification systems, detecting fraud faster, and preventing the misuse of emerging technologies in financial crime. While AI and machine learning play a crucial role, they are not standalone solutions. Collaborating with IT experts is key to implementing the right mix of technical tools based on specific compliance needs. A tailored approach ensures that organizations leverage the most effective technologies to strengthen financial system safeguards and stay ahead of evolving threats.
4. Corruption and violence as tools
- Organized crime groups employ corruption and violence to exert control and influence, undermining political and economic systems.
- Europol warns that these tactics pose serious threats to institutional integrity and financial stability.
» Identifying individuals and entities linked to corruption and violent activities is critical. A database with comprehensive coverage can expose these connections and support efforts to maintain institutional integrity.
Corruption is a core enabler of organized crime, providing criminal networks with the means to infiltrate institutions, evade law enforcement, and expand their influence across political, economic, and social domains. The digitalization of corruption is particularly concerning, as criminals increasingly target individuals with access to digital systems, recruit via online platforms, and use cryptocurrencies and fintech to transfer bribes. Corruption serves as a fundamental mechanism through which criminal networks consolidate power, evade justice, and expand their operations.
Our database plays a critical role in identifying PEPs (Politically Exposed Persons) involved in judicial proceedings by providing access to localized, high-quality data, including coverage of adverse media.
