Trends, insights, and practical guidance on how trusted data and AI shape decision-making.
This whitepaper showcases how improving data readiness enables organizations to generate clearer, more accurate views of risk, helping investigators move faster, reduce complexity, and reach confident, defensible decisions in an increasingly complex threat.
This industry paper explains how banks can shift from reactive detection to proactive, intelligence-driven prevention by aligning technology, governance, and human judgment to achieve measurable effectiveness.
Quantexa Named a Category Leader in Chartis’ 2025 AML Transaction Monitoring Report
Context aware gen AI solutions are transforming how organizations fight crime and Quantexa is leading the charge
Artificial Intelligence (AI) is rapidly transforming industries worldwide, driven by a multitude of factors that have heightened interest and adoption. But to truly harness AI's potential, accurate and contextual data is crucial.
Explore Emerging Trends, Key Technologies, and Market Leaders Shaping AML Transaction Monitoring in 2024
Financial Institutions face significant risks as they strive to comply with complex sanctions regulations and identify indirect exposure. Explore how decision intelligence systems can provide a robust solution.
See how banks can repurpose and augment existing technology to leverage a single data foundation to use across departments to solve financial crimes and fraud faster and more effectively.
Here's how Quantexa debunks the most common AML/CTF myths by helping banks to gain a contextual view of data and risk using its AI-enabled Decision Intelligence Platform.
Bank investigators can now achieve more effective triaging and greater investigative clarity by using typology-based scorecards to concentrate on real risk and proactively detect financial crimes.
A recent FinCEN Advisory provides guidance to help financial institutions detect and counter the financing of Iran-backed terrorist organizations. Explore how the convergence of AML/CFT and sanctions technologies can combat this threat.
Financial institutions face heightened secondary sanctions risk due to the U.S. Executive Order 14114. Uncover how technology can accelerate your ability to identify and mitigate sanctions exposure.
Traditional transaction monitoring offerings are inefficient, costly, and only deliver one piece of the money-laundering puzzle. With a contextual approach, investigators can see the full picture of their customers and counterparties, making it easy to "follow the money."
Discover how global sanctions impact the Asia-Pacific region and explore innovative technology solutions designed to help you navigate complex regional compliance requirements.
Several topics tailored to the unique needs of broker-dealers’ AML and Sanctions Compliance programs were delivered at SIFMA AML 2024, from a continued regulatory focus on Low Priced Securities risks to proposed rules changing the CDD/KYC landscape.
The correspondent banking system may face challenges, but with strategic innovation, entity resolution, and machine learning, we can secure it, bringing the benefits of global finance to underdeveloped countries while maintaining safe practices.
Trade is complex, international, and disaggregated–so it's no surprise that trade-based money laundering is a challenging issue to address. To fight trade-based money laundering, financial institutions need to work together, across corporate and international borders.
Criminal activity continues to evolve and become more sophisticated. Financial institutions can enhance their surveillance capabilities and filter out false positives by leveraging context and advanced analytics technology.
With the release of the 2024 FINRA Report, we see increased emphasis on financial crime, including manipulative trading and fraudulent ACATS transfers. Contextual analysis is the best weapon to detect and report this criminal activity.
There has been transformative shift in the financial crime regulatory environment, including a greater focus on risk-based approaches that leverage collaboration, technology, and data/analytics. These innovations are paramount to fighting financial crime.
By leveraging a data-driven approach, financial institutions can enhance risk accuracy, improve decision-making processes, and demonstrate compliance with regulatory standards. A dynamic client risk rating mode doesn't just identify risk—it makes sustainable growth possible as markets evolve.
Monitoring and detection are often plagued with false positives and inefficiencies. By reimagining monitoring to recognize specific typologies tied to known predicate criminal offenses, we can make detection more effective and efficient.
Technology plays a pivotal role in fighting financial crime. Often, practitioners view new technology as too similar to existing processes to make a difference, but embedding information sharing into monitoring and investigation is transformational.
Industry experts in banking and technology reveal new ways to fight financial crime more effectively and efficiently at the FT Live's Global Banking Summit. Catch up on the discussion here.
Regulators are pushing for organizations to use advanced technology to fight trade finance AML and fraud risk. Here's a blueprint for using this moment to overhaul process flows and fortify control frameworks to better combat money laundering and fraud.
Optimize your compliance infrastructures with Decision Intelligence to improve data capabilities, find more risk, and perform holistic surveillance, resulting in quicker, easier, and more informed decision-making.
Human trafficking and modern slavery continue to surge globally, with sophisticated criminal networks exploiting digital tools and financial institutions. See how AI-driven Decision Intelligence can offer vital insights to detect and disrupt these operations.
Download the latest IDC infobrief to see how context can transform AML investigations and enable more effective and efficient risk management.
Discover how Quantexa’s Contextual Monitoring approach is revolutionizing traditional transaction monitoring in this exclusive report.
UK Officials predict up to £26 billion in losses from the COVID-19 Bounce Back Loan program. See how anti-fraud technology can substantially reduce this.
