Financial Crime Tracker

Industry analysis on cross-institution collaboration to fight crime

Industry analysis on cross-institution collaboration to fight crime

Collaboration Against Financial Crime

Key Questions

How does the EU AML package change cross-border AML cooperation?

The EU AML package introduces more harmonized rules across member states, centralizes certain AML functions, and promotes stronger information sharing and supervisory convergence, reducing fragmentation and making cross-border investigations and compliance more consistent.

What governance measures should institutions adopt when deploying AI for AML detection?

Institutions should implement model risk management (validation, explainability, monitoring), clear human-in-the-loop decisioning, audit trails for flagged alerts, bias and performance testing, and cross-jurisdictional oversight to ensure accountability for machine-generated alerts.

Can AI/telemetry reduce operational burdens like false positives?

Yes — when properly tuned and integrated with high-quality data and human review, AI and telemetry can significantly cut false positives (examples report reductions like 30%), improve strike rates, and reduce manual review workload, but require ongoing monitoring and tuning.

What immediate steps can firms take to strengthen cross-institution collaboration against financial crime?

Start by establishing secure channels for real-time intelligence sharing, adopt common incident response playbooks, engage in public–private partnerships with law enforcement and regulators, and participate in industry data-sharing initiatives and pilots to test interoperability.

Industry Analysis: Strengthening Cross-Institution Collaboration to Combat Evolving Financial Crime

In an era where technological innovation accelerates at a breakneck pace, so too does criminal ingenuity. The landscape of financial crime has become increasingly sophisticated, interconnected, and transnational, compelling stakeholders across the financial ecosystem to rethink traditional approaches. Recent developments—from regulatory reforms and enforcement actions to technological advancements—underscore a vital truth: collaboration, innovation, and proactive governance are the pillars of effective defense against modern financial crime.


The Escalating Threat Landscape: AI-Driven Scams, Cross-Border Networks, and Sector-Specific Vulnerabilities

Criminal enterprises are harnessing artificial intelligence (AI) to scale and sophisticate their schemes. AI-generated deepfakes and synthetic voices are now commonplace tools used to impersonate individuals and manipulate transactions. For example, recent UK reports highlight a surge in fraud cases—reaching a record of 444,000 last year—where AI-enabled techniques have made detection increasingly challenging.

Cross-border criminal networks are actively sharing AI models, tactics, and tools via encrypted forums, resulting in more scalable and covert schemes. These include AI-powered phishing attacks, automated scam bots, and impersonation frauds, which exploit the interconnectedness of global financial systems. Such tactics demand real-time intelligence sharing and adaptive technological countermeasures.

The scope of payment fraud is expanding beyond traditional channels. Visa’s latest report indicates check fraud spilling into faster payment schemes, while social media platforms are becoming fertile grounds for Account Payment Port (APP) fraud—a phenomenon that complicates detection and accountability. This trend emphasizes the urgent need for platform responsibility and multi-stakeholder collaboration.

Sector-Specific Vulnerabilities

  • Cryptocurrency Exchanges: The recent collapse of Paxful exposed weaknesses in AML controls within crypto platforms. Insufficient oversight has allowed illicit actors to launder money, evade sanctions, and fund illegal activities. Regulatory scrutiny is intensifying, with authorities demanding stronger AML frameworks.

  • Capital Markets: Securities firms, hedge funds, and derivatives desks face sector-specific AML challenges. The speed and complexity of transactions can obscure illicit activities, necessitating specialized controls and cross-sector cooperation.

  • Jurisdictional Risks: The Isle of Man remains classified as medium-high risk for money laundering, demonstrating the importance of international cooperation and harmonized policies to close systemic gaps.


Recent Enforcement Actions and Case Studies

Recent enforcement underscores a proactive stance by regulators and law enforcement agencies, highlighting the importance of robust compliance frameworks and international collaboration.

  • Red Bank Fine: A prominent bank operating across China and Hong Kong was fined for AML control deficiencies, illustrating the consequences of weak compliance programs in high-risk jurisdictions.

  • Disruption of a Proxy Network: U.S. authorities dismantled a malicious malware infrastructure responsible for defrauding thousands and causing millions in losses. This operation involved cross-border law enforcement coordination and exemplifies joint international efforts in cyber-enabled financial crime.

  • Paxful’s AML Failures: The collapse of Paxful’s AML program highlights crypto sector vulnerabilities. Insufficient controls allowed illicit actors to exploit the platform, emphasizing the urgent need for regulatory oversight and robust compliance measures in crypto markets.

  • South Korea’s Bithumb Penalty: The country’s FIU recently imposed a six-month partial suspension on Bithumb, one of the largest crypto exchanges. This move underscores global regulator pressure on crypto platforms to strengthen AML controls and align with international standards, reinforcing the trend toward strict oversight and cross-border cooperation.


Policy and Regulatory Shifts

Governments and regulators are actively modernizing financial crime frameworks:

  • The UK Fraud Strategy (2026–2029) emphasizes multi-stakeholder engagement, intelligence sharing, and coordinated enforcement. It advocates for public–private partnerships to address systemic threats effectively.

  • Calls for comprehensive regulatory reviews are gaining momentum. UK MPs and peers are urging reforms to close systemic gaps, enhance consumer protection, and keep regulations abreast of technological advances.

  • The EU AML package is transforming compliance standards by introducing harmonized rules and centralized oversight mechanisms. This initiative aims to streamline cross-border compliance, curb money laundering, and bolster transparency.

  • Platform accountability is now a focal point, with social media and online platforms being urged to share responsibility for detecting and preventing fraud schemes, especially those propagating via social channels.


Technological Innovations and Operational Strategies

Advances in AI and telemetry are revolutionizing detection capabilities. Institutions are increasingly deploying machine learning (ML) systems to identify suspicious activities in real time. For example:

  • Commerzbank’s partnership with Hawk leverages AI to enhance AML detection, leading to faster, more accurate identification of illicit transactions and reducing false positives.

  • Model governance and accountability frameworks are emerging to ensure ethical, transparent AI use. These include audit trails and explainability protocols to mitigate risks of model bias.

  • Practical implementations are demonstrating significant reductions in manual verification efforts and false positive rates, which are critical for operational efficiency.


Strategic Recommendations for a Resilient Financial Ecosystem

To address these evolving threats, industry leaders advocate for:

  • Enhanced real-time data exchange: Developing secure, interoperable platforms for instant sharing of suspicious activity reports and threat intelligence across institutions and jurisdictions.

  • Shared standards and operational playbooks: Establishing common protocols to enable rapid, coordinated responses during security incidents.

  • Deepening public–private partnerships: Fostering closer collaboration for intelligence sharing, enforcement coordination, and dissemination of best practices.

  • Oversight of AI systems: Implementing ML governance frameworks that oversee model development, deployment, and auditability, ensuring ethical and effective use of AI in AML processes.

  • Platform accountability: Clarifying responsibilities for social media and online platforms in identifying and mitigating APP fraud, supported by potential regulatory mandates.


Next Steps: Toward a Unified, Technologically Enabled Front

Moving forward, the industry must prioritize:

  • Cross-jurisdictional data standards: Establishing interoperability frameworks for seamless exchange of suspicious activity data.

  • ML governance frameworks: Creating regulatory and operational standards for the ethical deployment of AI systems.

  • Pilot interoperability platforms: Testing secure, real-time exchange platforms designed for collaborative threat detection and joint enforcement.

  • Strengthening international cooperation: Building multi-national alliances to synchronize AML standards, share intelligence, and coordinate enforcement actions globally.


Conclusion: A Collective, Technology-Driven Defense

The rapidly evolving landscape of financial crime—characterized by AI-enabled scams, cross-border illicit networks, and sector-specific vulnerabilities—demands a collaborative, multi-stakeholder response. Recent enforcement actions, strategic policy shifts like the UK Fraud Strategy, and international developments such as South Korea’s Bithumb penalty collectively reinforce the importance of shared intelligence, harmonized policies, and technological innovation.

Harnessing AI responsibly, fostering public-private partnerships, and establishing standardized operational frameworks are vital to building a resilient financial ecosystem. As criminals adapt and innovate, the collective industry must coordinate, share data, and deploy advanced technology to detect, deter, and disrupt emerging threats effectively.

The path forward hinges on unity and proactive engagement, ensuring the integrity of the global financial system in an era of unrelenting digital innovation and criminal sophistication.

Sources (18)
Updated Mar 18, 2026