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It’s fair to say that the increasingly volatile nature of global geopolitics over the last three years has meant that anyone with a reasonable interest in news and current affairs would be familiar with the concept of sanctions.
These sanctions, often imposed by governments or international bodies like the United Nations, are designed to address issues such as national security threats, human rights violations, and illicit activities like money laundering and terrorism financing.
Prior to Russia’s invasion of Ukraine, the processes and measures that organizations implement to ensure adherence to laws and regulations that restrict business dealings with certain individuals, entities, or countries were largely run in the shadows.
But the very public targeting of Russian oligarchs and global businesses with links to the Kremlin following the outbreak of hostilities in Ukraine in 2022 has put those processes very firmly in the public domain.
With greater awareness comes greater scrutiny, of course, and a clear public demand that organizations are seen to have systems, tools, and policies in place that enable them to robustly monitor transactions and customers and identify potential violations.
In today’s interconnected global economy, sanctions compliance is not just a regulatory obligation but a critical component of risk management and corporate responsibility.
Technology not a solution on its own
As global financial institutions prepare to tackle increasingly sophisticated sanctions evasion tactics, the role of advanced technologies like artificial intelligence (AI) and machine learning (ML) is under scrutiny.
But while these tools are valuable, experts stress they are not a panacea for the challenges inherent in sanctions compliance.
“AI and machine learning are buzzwords right now,” the Head of Sanctions for one of the world’s largest banks noted during a recent CeFPro event. “But they cannot replace the need for a holistic framework.
“These technologies are only as good as the data you feed into them. Yes, they have a place, but they must complement traditional methods, such as analyzing transactions, speaking with clients, and understanding the entire process.”
This balanced approach underscores the complexity of implementing technology-driven sanctions screening, particularly when institutions grapple with legacy systems and fragmented data.
Legacy systems and data challenges
For many financial institutions, the integration of cutting-edge technology into outdated systems poses significant hurdles.
As the Head of Sanctions observed: “Legacy systems are a major challenge. You might have the most advanced technology, but if your data quality is poor, the results won’t be reliable.”
She also stressed the importance of skilled personnel in bridging this gap as another pressing issue, saying: “You need people who understand how the technology works so they can explain it to regulators. It’s not a ‘plug and play’ solution; it requires ongoing calibration and adaptation to keep up with evolving risks.”
