The rapid evolution of Artificial Intelligence (AI) presents unprecedented opportunities for innovation and efficiency across industries, particularly in financial services. However,

The evolution of threats to the financial system is outpacing advancements in Financial Crime Compliance (FCC) regulations and technology used by financial institutions (FI).  In this situation, FI can save considerable funds, by creating or evolving their business architecture with a view of adapting to emerging threats and the advanced tech that will be required to tackle them.

On August 28, 2024, the Financial Crimes Enforcement Network (FinCEN) issued a final rule that extends Anti-Money Laundering (AML) and Countering the Financing of Terrorism (CFT) requirements to Registered Investment Advisers (RIAs) and Exempt Reporting Advisers (ERAs). This rule, effective January 1, 2026, mandates that RIAs and ERAs develop and implement comprehensive AML/CFT programs, aligning them with other financial institutions under the Bank Secrecy Act (BSA).

In 2024, regulatory enforcement increased, financial crime risks evolved, and scrutiny of both traditional and emerging financial institutions heightened. As regulatory bodies worldwide intensify their focus, organizations must adapt to a rapidly changing compliance landscape.

The global Databricks Data + AI conference held two weeks ago in San Francisco included a long list of innovations and announcements. Unlike last year, this year Snowflake and Databricks held their conferences in the same conference hall (Snowflake first and Databricks a week later), giving data professionals and enthusiasts the opportunity to catch up, learn and attend an action-packed couple of weeks of announcements, expert presentations and networking..

The fight against financial crimes has been on for decades. Do you remember Michael Night? Those of us who grew up in the good old days of the 80s were probably huge fans of the American action crime drama TV series, Knight Rider.

Amazon recently launched a feature where hundreds, and sometimes thousands, of reviews are summarized into a concise and simple paragraph.  This auto-generated summary allows the customer to instantly get an overall review of a product’s capabilities as well as overall customer satisfaction. This is a great example of using Large Language Models (LLM) to process and produce text that resembles that of humans. These models can understand language structures, grammar, context, and semantic linkages since they have been trained on enormous amounts of text data.

Emerging technologies are reshaping the financial services industry. On one end of the spectrum, initiatives such as Real-Time Payments and ISO20022 are modernizing existing payment infrastructure, making it faster and more efficient. On the other end, blockchain and distributed ledger technologies (DLT) are laying the foundation for an alternative ecosystem involving digital assets and cryptocurrencies.

Digitalization and Open Banking are two most prominent trends in banking industry in recent time. While the former was initiated by changing customer behavior, the latter was driven by regulatory and market forces.

Open Banking is a new kid on the block with a lot of promise and fanfare, but it can present new challenges for financial services. Rather than being swayed by its exuberance, a cautious approach is required for its implementation.

Financial Institutions are in a similar situation. A lot has changed in the last few years. Fraud activities and losses are on the rise. FIs need to act or face the consequences – higher fraud losses, loss of public trust and declining customer loyalty. Given the risk, it is imperative that risk leaders adjust their fraud strategies to adapt to the new reality.

Traditional banking and the wind of change are not inherently linked, but now more than ever, it seems that the change offered by modern technology is not only adopted, but due to the pandemic is happening at an accelerated pace. From the demand for more speedy processes, through the increased trend of closing branches, and all the way to new possibilities that the digital arena offers (including AI and Machine Learning). All this without even mentioning Crypto and the challenges it posts to traditional banks. Weather we like it or not, change is all around us. Here are some highlights from our recent webinar where we discussed banking and compliance post pandemic:

Imposing economic sanctions is a powerful foreign policy tool used by countries and international organizations that can include travel bans, asset freezes, arms embargoes, and trade restrictions with countries, individuals, and entities. The US Department of the Treasury’s Office of Foreign Assets Control (OFAC) “administers and enforces economic and trade sanctions based on US foreign policy and national security goals.” The names of individuals, entities, aircraft, vessels, and countries are incorporated into OFAC’s list of Specially Designated Nationals and Blocked Persons (“SDN list”), which blocks U.S. persons from transacting with both them and their assets. The SDN list is updated ad-hoc, with new additions to and removals from the list.

Financial institutions need to meet growing sanctions compliance demands without disrupting customer services, incurring an exorbitant overhead, and being exposed to regulatory fines.

Regulators have fined financial institutions close to 20 billion dollars for Anti-Money Laundering (AML) shortcomings and regulatory violations in the last 6 years.

Quantifind, a provider of a SaaS platform used by banks to help automate financial crimes risk screening and investigations, today announced its partnership with Matrix-IFS, the leading provider of financial crime advisory and implementation services. Quantifind’s Graphyte™ platform brings best-in-class risk assessment and entity resolution accuracy to Matrix-IFS’ comprehensive services for KYC/CDD/EDD, transaction monitoring, sanctions screening, and case management. Graphyte includes integrations with leading case management platforms that seamlessly incorporate advanced risk intelligence directly within analysts’ familiar tools and workflows.

Many Chief Compliance Officers at midsized financial institutions sense that streamlining their anti-money laundering systems will lead to increased efficiency and effectiveness across their AML programs, but they wonder where to start.

Midsized financial institutions (with $1 billion – $10 billion in assets) play an important role in our financial system, especially in the U.S. where banks with less than $10 billion in assets represent 14% of the market and 97% of the total number of banks.

Welcome back to Matrix AML Academy. In case you missed our previous post, this is the 3rd part of an 8-part educational program on how to improve tour AML program and systems

Welcome back to Matrix AML Academy. In case you missed our previous post, this is the 2nd part of an 8-part educational program on how to improve tour AML program and systems

Welcome to Matrix Academy! A place you can hone  in on your AML skills, gain valuable knowledge, learn insider tips of the trade and keep up to date with current technologies and methods

As COVID-19 continues to spread, phishing lures related to the CoronaVirus continue to appear. Some instances of “Casebaneiro Banking Trojan”, “HawkEye” and “WSH RAT” all using COVID-19 in phishing lures or executable names were spotted.

The New York State Department of Financial Services (“DFS”) has been closely monitoring the ever-growing threat posed to information and financial systems by nation-states, terrorist organizations and independent criminal actors.

Matrix-IFS, a specialized financial crime and compliance solution provider, announces the expansion of its Advisory Services with the acquisition of a leading NYC-based Advisory consulting firm, Alius.

With millions of accounts containing people’s life savings, security has always been one of the largest concerns for financial institutions and their customers. As cybercriminals become more sophisticated in their hacking techniques, institutions should adopt more advanced cybersecurity and fraud prevention systems. Although new technologies provide more advanced security options, knowing which ones to use and how to implement them is a challenge many institutions face today.

Looking up historical transaction data is a task every Investigator knows and dreads; constantly going to the upstream data systems, collecting historical data, merging it, only to try and make sense how the customer behavior looks like. Imagine a world where he wouldn’t have to do all that and simply focus on investigations. Sounds like a dream, right? Not anymore. With Robotics Process Automation it is now a reality, one that could easily and quickly be adapted.

On October 10th, we had the honor of speaking at the European Banking Forum in London in front of 100 compliance & financial crime Senior Managers, where we announced our purpose-built Digital Investigators into the world.

Last week, we had the honour and pleasure to engage in a fruitful conversation with a roomful of Compliance leaders from the financial sector, to share ideas and findings as to practical approaches to reducing compliance overheads.

We’ve all been there, choosing our next travel destination. What should be a fun and exciting experience, can sometimes be stressful and overwhelming as there are many factors that can impact on our choice of a travel destination, to name a few: budget, travel companions, timing, weather and popular attractions.

On June 12th, Matrix-IFS will be taking part in one of the most prestigious Financial Crime Conferences in Europe – ACAMS Europe, which will take place at the Berlin Congress Center GmbH. This 2-day conference brings together vendors, industry thought leaders and various financial institutions from across Europe.

During 2019-2020, EU countries will pass laws that introduce the 5th AML Directive (5MLD) into their respective national laws. Now is the time for your organization to invest in improving and optimizing your existing AML solutions to meet the increased challenges and regulator demands before it’s too late.

There are four key phases in transaction monitoring (TM) implementations and how a bank should design and execute these phases. Successful implementation of rule selection, data prep, segmentation, tuning and operational optimization will determine the success of the overall TM implementation in your organization.

On April 15–17 Matrix-IFS will be taking part in one of the largest Financial Crime Conferences in the US – ACAMS Florida, which will take place at the Diplomat Resort & Spa in Hollywood, Florida. This 3-day conference brings together vendors, industry thought leaders and various financial institutions from across the world.

The latest discoveries around the massive scale of money laundering at Danske Bank and ING are just two of the most recent examples of an underlying problem with the Anti-Money Laundering (AML) discipline. Despite increasing efforts and investments focusing on the AML problem, money laundering techniques continue to evolve and evade the controls implemented by Financial Institutions (FIs). More and more industry voices decry the efficiency and effectiveness of the current AML approach – which entails running all transactions through a series of automated checks to spot anomalies based on a large set of pre-defined typologies provided by experts.

Learn how RPA can increase efficiency, lower risk, and trim your overhead

Matrix-IFS introduces a series of timely and informative webinars on new issues, trends and solutions in Anti-Financial Crime. Webinars are designed to update and inform risk, compliance, control room and fraud professionals working in financial institutions and capital markets.

During The 29th Annual ACFE Global Fraud Conference Anshul Arora , Head of FL Delivery Center will present Matrix-IFS’s RPA solution for improved operations and increased efficiency. During his session, Anshul will explore a new vision of a modern FIU department, which incorporates Artificial Intelligence, Machine Learning and advanced analytics to address and reduce alerts as well as how robotics and automation can play part in reducing risk and simplifying the work of the Investigators.

You know the challenges associated with your Deal Management (DMS) and List Management (LMS) systems & processes. You may even be aware of the full burden and cost they pose to your department and your organization. Now benefit from the fresh approach firms are taking with their Deal and List Management systems to gain efficiency and save time and resources.

During ACAMS Annual Europe Conference taking place 30 May – 1 June in Amsterdam, Matrix-IFS will participate in a panel session on the subject of AML Operations and how to fight growing pains using cutting-edge technology where we will share options to enhance performance by replacing limiting rule-based solutions with far more efficient intelligent solutions that operate within existing infrastructure.The panel will discuss combining Graph Analytics, AI/Machine Learning, and Scenario Authoring on big data to improve the quality of detection, prevention and reporting of financial crimes.

The evolution of threats to the financial system is outpacing advancements in Financial Crime Compliance (FCC) regulations and technology used by financial institutions (FI). In this situation, FI can save considerable funds, by creating or evolving their business architecture with a view of adapting to emerging threats and the advanced tech that will be required to tackle them.

Since 2006, Matrix International Financial Services (Matrix-IFS) has been helping financial institutions strengthen business compliance and address financial crimes and fraud issues, with a goal to satisfy both regulators and clients with effective, efficient and cost-effective solutions.

The recently imposed Venezuelan sanctions issued by the U.S., the E.U., and Canada have placed heavy burdens on sanctions compliance programs. This has made it…