IMTF recently hosted a joint webinar with the Association of Certified Sanctions Specialists (ACSS) “A New Financial World Order: Sanctions Evasion on the Rise”. The session brought together industry experts to explore how sanctions evasion is evolving, and what it means for compliance teams today. One message stood out clearly: sanctions compliance is no longer about identifying who is on a list. It’s about understanding how global networks operate.
What used to be a relatively linear challenge has become a complex system of interconnected actors, jurisdictions, and payment flows. And for compliance teams, this shift fundamentally changes how risk must be understood and managed.
From Linear Risk to Networked Reality
For years, sanctions compliance followed a clear and structured logic: identify exposure to sanctioned countries or individuals and block it. But that model no longer reflects reality.
Today, sanctions evasion operates through layered global networks. Transactions move through multiple jurisdictions, ownership structures are deliberately obscured, and trade flows are fragmented to disguise their true origin or destination.
This evolving landscape, referred to as “non-alignment 2.0” in recent analyses, reflects a growing trend of countries maintaining economic relationships across geopolitical divides, creating new grey zones for compliance. The result is a growing number of grey zones where compliance is no longer straightforward, and where risk cannot be assessed through a single lens. Sanctions risk, in this context, is no longer country-based. It is network-based.
A More Fragmented and Sophisticated Evasion Landscape
What makes this shift particularly challenging is not just the scale of global activity, but the increasing sophistication of evasion techniques.
Intermediary jurisdictions now play a central role, acting as commercial and financial bridges between sanctioned and non-sanctioned economies. At the same time, payment mechanisms are evolving. While traditional currencies remain dominant, alternative payment methods (local currency settlements or digital assets) are introducing new layers of opacity.
At the heart of this transformation lies a simple reality: the more fragmented the system becomes, the harder it is to see the full picture. And this is precisely where traditional detection approaches begin to struggle.
Why Traditional Compliance Models Are No Longer Enough
Many compliance frameworks still rely on a combination of country risk indicators, transaction monitoring, and list-based screening. These remain essential components but, on their own, they are no longer sufficient.
In a network-driven environment, risk rarely appears in a single transaction or a single counterparty. Instead, it emerges through patterns, relationships, and flows that only become visible when viewed collectively
This creates a fundamental challenge for financial institutions. Each organization sees only a portion of the activity, just a few pieces of a much larger puzzle. Without context, even well-designed controls can miss the broader structure of an evasion scheme.
From Country Risk to Corridor Thinking
To adapt to this new reality, compliance needs to move beyond static, country-based assessments and adopt a more dynamic perspective.
Rather than focusing solely on where a transaction originates or ends, the emphasis must shift to how it moves. Trade routes, financial flows, and intermediary relationships all become critical in understanding risk.
This corridor-based view (looking at how transactions move across jurisdictions and intermediaries) allows institutions to better identify inconsistencies, unusual patterns, or indirect exposure that would otherwise remain hidden. It also reflects the way sanctions evasion actually operates today, not in isolation, but across interconnected systems.
What Effective Sanctions Detection Looks Like Today
Addressing this complexity requires more than incremental improvements. It calls for a more integrated and intelligent approach to detection.
Leading practices increasingly include:
- Network analysis to uncover relationships between entities and counterparties
- Include in the screening all relevant stakeholders such as sender, recipient, involved insurances, vessels, agents, service operators, ports, vendors crew members.
- Screening against Dual Use Goods lists but also BIS, Commodity Lists and internal lists
- Watch out for AIS (Automatic Identification System for Vessels) gaps in the records
- Integrate Vessel Trackers
- Check also for falsified trade documents and suspicious code names
- Check new supply routes involving unknown companies and suspicious payments
- Check for ports close to sanctioned countries
- If possible use satellite images in order to compare with AIS logs and vessel positions
- Behavioral monitoring to detect evolving patterns over time
- Integration of multiple data sources, from financial transactions to trade and maritime intelligence
- Real-time or near real-time processing to reduce reaction time and close detection gaps
The objective is not just to collect more data, but to connect it in a way that reveals what would otherwise remain invisible.
The Missing Piece: A Broader View of the Ecosystem
One of the clearest takeaways is that no single institution can fully address this challenge alone.
Sanctions evasion is inherently global, while detection remains largely fragmented. Each institution operates within its own perimeter, with limited visibility beyond it. This disconnect creates blind spots that sophisticated actors are increasingly able to exploit.
Improving effectiveness will therefore require a broader shift towards greater interoperability, better data standardization, and ultimately, stronger collaboration across the ecosystem.
Because in a networked environment, isolated detection is no longer enough.
From Insight to Action: Revealing Hidden Networks
Understanding this shift is essential, but it is only the first step.
The real question is how to operationalize it. How do you detect structures that are designed to remain hidden ? How do you identify connections across fragmented data? And how do you turn complexity into something actionable ?
This is exactly the focus of our upcoming webinar “The Science of Hidden Networks: From Data to Detection.”
In this session, we will explore how advanced analytics and AI can:
- Uncover hidden relationships across fragmented datasets
- Identify patterns that traditional approaches fail to detect
- Transform complex information into clear, actionable insights
Register now to explore how to move from data to detection, and uncover the networks behind financial crime.
