Synthetic Data™

Step in Sanctions Screening Effectiveness: Synthetic Data! 

IMAG introduces the next step in robust sanction screening: Synthetic Data.  Synthetic Data is controlled, artificially generated datasets.  Today, institutions which test their sanction systems using real data or model validation retain significant vulnerabilities. Synthetic Data supplements current testing models and quickly and effectively uncovers hidden vulnerabilities.

Sanction Screening: Why Testing Matters

Robust sanction screening is a cornerstone of operational integrity, regulatory compliance, and the avoidance of fines and penalties. Effective testing ensures your system accurately identifies sanctioned entities, individuals, or transactions,      safeguarding your institution from costly missteps. Sanction testing isn’t just a technical exercise; it’s a strategic necessity that underpins trust, stability, and resilience in an increasingly scrutinized environment. 

The High Stakes of Inadequate Testing 

Failing to test sanction screening systems thoroughly opens the door to significant risks, including enforcement actions and fines, reputational fallout, and costly remediation.

These are the real-world costs of a system that hasn’t been rigorously vetted, leaving your institution vulnerable when it matters most. 

The Vulnerabilities from Traditional Testing

Sanction testing based solely on real data (live customer transactions and entity records) and model validation carries vulnerabilities:

  • Privacy and Security Risks: Using real data exposes sensitive information, risking breaches that could violate laws like GDPR or CCPA and invite legal headaches. 
  • Uncontrolled Variability: Real data’s unpredictability makes it hard to test specific scenarios, leaving gaps in your system’s readiness. 
  • Operational Interference: Testing with live data can inadvertently disrupt workflows, triggering false alerts or unintended actions. 

Validation checks the theoretical soundness of algorithms against historical data but does not constitute a full stress test. For example, it may confirm low false positive rates, yet fail to expose how the system handles:

  • Edge cases: Like a cleverly disguised name variation or an emerging sanctions evasion tactic.      
  • Sanction lists and regulations changes: historical production data may not adequately reflect current conditions or compliance requirements as list change frequently.
  • Bias in data: production data may reflect existing biases, such as over-representation of certain demographics or regions, affecting the model’s performance and validation
  • Insufficient Testing of New Features: If new features or enhancements are made to the model, production data may not adequately capture the performance of these changes under various scenarios.

Relying solely on real data and model validation conveys a false sense of security since each can miss vulnerabilities that only an independent, broader, and controlled approach can uncover. 

INTRODUCING SYNTHETIC DATA™

Synthetic Data are purpose-built datasets which mirror real-world conditions without using actual customer or transaction records. Unlike internal datasets that reflect your organization’s unique patterns, IMAG’s synthetic data testing is an additional, independent and objective benchmark regarding the effectiveness of your sanctions program.

Attributes

Precision and Control
Simulate exact matches, fuzzy variations, and rare scenarios to pinpoint strengths and weaknesses with surgical accuracy.

Risk Mitigation
Eliminate privacy concerns while testing comprehensively, ensuring compliance without compromising security

Proactive Preparedness

Anticipate evolving threats by crafting scenarios beyond what historical data reveals, keeping your system ahead of the curve. 

 

Synthetic Data transforms sanction screening from a reactive necessity into a proactive strength, aligning your institution with regulatory expectations and operational excellence.

 

Synthetic Testing

IMAG’s Synthetic Datasets are designed to include exact matches to sanctioned entities, fuzzy variations (like typos or phonetic twists), and entirely fabricated records designed to test your system’s limits. By adjusting matching thresholds—say, 50%, 85%, or 90%—you gain a clear view of how your screening performs under different levels of scrutiny, enabling targeted improvements tailored to your risk appetite. 

IMAG/Advisory: Elevating Compliance with Cutting-Edge Solutions

The independence of Synthetic Data testing delivers confidence that your screening system isn’t only tuned to past performance but battle-tested for future challenges—a distinction regulators and stakeholders value highly.   It provides:

 

  • Versatile Datasets: Our Synthetic Data records span multiple sanction lists (OFAC, HMRC, EU) and formats, covering name variations, corporate suffixes, and international nuances; 
  • Insightful Scoring: Detailed metrics at various thresholds provide actionable insights, balancing false positives with detection accuracy; 
  • Tailored Flexibility: Customize datasets to your institution’s specific needs, whether prioritizing precision or broad coverage;
  • Privacy Retention: Your  production data is retained on your servers at all times and never used in the IMAG testing process ;
  • Independent Assurance: Our externally produced data ensures an unbiased, rigorous evaluation—free from the blind spots of internal testing;
  • Expert Analysis: IMAG’s sanctions team are       experts in sanctions compliance and produces a comprehensive report quickly;
  • Subscription Service: Our service is available on a subscription basis, which allows you to test at various timeframes.  

Your Next Move:
IMAG Advisory and Synthetic Data

Remove the vulnerability inherent in the present methods of testing sanction screening by incorporating Synthetic Data testing. With IMAG/Advisory, you have subject matter experts who blend innovation with independence, turning compliance into a competitive advantage.

Contact us to explore how our Synthetic Data testing can fortify your screening systems, reduce risks, and position your institution as a leader in regulatory excellence.