Lynx Tech introduces its next-generation Anti Money Laundering (AML) Screening Solution, designed to help financial institutions identify high-risk individuals and entities with accuracy and speed.
The rise of global sanctions, increased scrutiny of Politically Exposed Persons (PEPs) and the evolution of sanction evasion tactics have rendered traditional screening methods slow and prone to false positives.
Strengthen AML requirements
Lynx AML Screening Solution is AI-driven, highly configurable and designed to evolve
With the United Nations Office of Drugs and Crime estimating that between 2 and 5% of global GDP is associated with money laundering each year—between €715 billion and €1.87 trillion—regulators continue to strengthen AML requirements in response to evolving financial crime risks, urging financial institutions to reinforce their risk management frameworks and adopt effective compliance measures.
The Lynx AML Screening Solution is Artificial Intelligence (AI)-driven, highly configurable and designed to evolve with the changing regulatory landscape. Unlike legacy systems that rely on outdated rule sets, Lynx’s technology:
- Utilizes proprietary Natural Language Processing (NLP) models and machine learning to enhance name similarity scoring.
- Supports over 100 languages, addressing phonetic, cultural, and alphabetic variations.
- Offers adaptable watchlist management, enabling business users to modify screening logic in real time.
- Utilizes proprietary Natural Language Processing (NLP) models and machine learning to enhance name similarity scoring.
- Allow customers to customize rescreening rules according to their policies, thereby eliminating unnecessary alerts with Tailored Delta Lists.
Lynx AML Screening Solution
Becki LaPorte, Strategic Advisor in the Fraud & AML practice at Datos Insights said, “In a world marked by constant turmoil, the intricacies of economic sanctions have become increasingly complex. Coupled with public corruption that thrives in the gaps between transparency and oversight, where relationships, transactions, and motives can be disguised as routine governance, hidden risks can thrive."
"It is important to have a solution that addresses the demand for faster payments while applying a risk-based approach to effectively weed out threats posed by bad actors in a transparent way. The Lynx AML Screening Solution is well positioned to support watchlist screening in this complex global ecosystem.”
Built for the future
Lynx helps corps leverage technology to their benefit to mitigate risk while still giving special value
In an era of real-time payments, rising customer demands and evolving criminal tactics, organizations are under immense pressure to reduce friction while also not becoming a criminal conduit.
Lynx helps organizations leverage technology to their benefit to mitigate risk while still delivering exceptional value to their customers.
Lynx Tech’s solution is built for the future of compliance, offering:
- Real-time transaction screening for a fast-paced payment environment.
- Scalable infrastructure that accommodates varying volumes.
- Cloud-native scalability for rapid implementation and seamless global deployment.
- Real-time insights and KPIs, providing compliance teams with full operational visibility.
- Process automation, eliminating manual inefficiencies and allows a focus on high-priority risks.
Landscape of financial crime
"The landscape of financial crime is shifting rapidly, and financial institutions need a solution that not only keeps up – but gets ahead," said Dan Dica, CEO of Lynx Tech.
“Our AML solution is designed to screen hundreds of transactions per second, has an average response time of less than one second, and a false positive rate of less than one percent."
AI-driven AML screening
Dica added: "Our AI-driven AML screening helps institutions remain compliant while reducing unnecessary alerts and operational strain.”
Lynx has been recognized as “Best of Breed” in name and transaction screening by Chartis, underscoring Lynx’s performance and accuracy in mitigating money laundering risks.
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