Financial Crime USA 2025 Brochure

Page 1


Financial Crime USA

March 25-26, 2025

New York City

Leveraging technology, AI and Innovation to effectively manage financial crime and anti-fraud

30+

20+

150+ Sessions Speakers Attendees

Key themes 2025:

AML Act Reform

Overview of technological advancements required for AML ACT reform

Leveraging AI /ML

Deep dive into the future of AI/ML in financial crime prevention

Sanctions & Geopolitical Risks

Navigating geopolitical developments and managing associated risks with sanctions screening

Emerging Technologies

Incorporating innovation and technology into financial crime infrastructures

Banks vs Fintechs

Bridging the gap between traditional banking and fintechs in adopting new technologies

Cryptocurrency

Best practices to manage evolving threats in the cryptocurrency landscape

info@cefpro.com +1 888 677 7007 www.cefpro.events/fcusa

Who’s Participating:

Jay Krish Head of AMl/FCC Data Governance State Street

Shankha Sen

Global Head of Financial Crimes Compliance, Data and Analytics BNY

Deepthi Machavaram

Global Head of Digital Financial Crimes Compliance

Morgan Stanley

Jason Foye VP, Illicit Finance and Fraud FINRA

Xihua ‘Sabrina’ Chen

Global Head of AML/ Customer Risk / Data Science Senior Lead Citi

Agenda

| Day 1 | March 25, 2025

12:45 Generative AI in financial crime: Transforming enterprise risk & compliance

• AI-Driven financial crime risk intelligence

8:00 REGISTRATION AND BREAKFAST

8:50 CHAIR’S OPENING REMARKS

REGULATORY LANDSCAPE OF FINANCIAL CRIME - FIRESIDE CHAT

9:00 Managing compliance amidst frequent regulatory changes and understanding impact on technologies

• Strategies for maintaining alignment between technological advancements and regulatory requirements

• Addressing the challenges of ultimate beneficial ownership and perpetual KYC

• Preparing for future regulatory changes and adapting compliance programs accordingly

• Overcoming obstacles related to legacy systems and identifying future-proofing strategies

AML Reform ACT – PANEL DISCUSSION

9:35 Overview reformed FinCen AML 2020 Act requirements for risk assessments in 2025

Navigating diverse regulatory expectations for AI models and compliance in financial crime prevention

• Preparing for future regulatory changes and understanding their impact on technology use

• Exploring future trends in global AI and privacy regulations and their implications for financial institutions

Enhancing collaboration and understanding between regulators and financial institutions

• Addressing challenges for smaller institutions in meeting FinCen requirements

Managing lack of resource constraints and lack of technology infrastructures

Addressing the challenges posed by rapid technological advancement in relation to regulatory frameworks

Julianne Susman, ED & Counsel Global Financial Crimes Legal, Morgan Stanley Gregory J Calpakis, BSA/AML Reform Program Manager & InfoSec Officer, OCC

Gabriel Ngo, Director, Governor’s Review Officer, Supervision, Bank of Canada

10:20 MORNING REFRESHMENT BREAK AND NETWORKING

DATA MANAGEMENT AND INTEGRITY

10:50 Driving AI Innovation and Data Integrity Through Regulatory Frameworks

Leverage regulations like the EU AI Act and NYDFS Part 504 for better data management

• Distinguish true innovation from simple improvements

Use regulatory frameworks to drive innovation

• Address data mismanagement and develop continuous maintenance strategies

• Enhance data integrity to support technologies combating financial crime

Jay Krish, Head of AMl/FCC Data Governance, State Street

LEVERAGING AI IN FINANCIAL CRIME PREVENTION

– PANEL DISCUSSION

11:25 Exploring the future role of AI in financial crime prevention and compliance strategies

• Harnessing AI to enhance customer data management and analysis in banking Integration of AI in transaction monitoring and sanctions screening for better risk management

• Leveraging AI and ML to improve fraud detection and reduce false positives Managing automation and real-time payments in a regulated environment

• Exploring generative AI to enhance operational efficiency in financial crime

• Discuss law enforcement’s role in adopting AI for fraud prevention

Shankha Sen, Global Head of Financial Crimes Compliance, Data and Analytics, BNY

Patrick Simonnet, Chief Audit Executive, Bank of China

Sateesh Kumar Challa, Head of Digital Transformation Office, Société Générale

Xihua ‘Sabrina’ Chen, Global Head of AML/ Customer Risk / Data Science Senior Lead, Citi

Delena D. Spann, Cyber Fraud Task Force, U.S Secret Service

LEVERAGING ML TO DETECT FALSE POSITIVES

12:10 Implementing ML tools to enhance AML processes and reduce false positives

• Leveraging AI for data management and analytics to improve decision-making processes

Exploring the capabilities and boundaries of AI in detecting and preventing financial crimes

• Developing AI models and algorithms for better detection of financial crime patterns

Case studies demonstrating successful AI applications in financial crime compliance

Sateesh Kumar Challa, Head of Digital Transformation Office, Société Générale

Strategic compliance & resilience – AI-driven benchmarking

o Gap analysis, and automated actions help enterprises strengthen controls reduce regulatory exposure, and stay ahead of threats

Sasha Tuel, Head of Customer Success, Weave.AI

12:55 LUNCHBREAK AND NETWORKING

TRANSACTION MONITORING - FIRESIDE CHAT

1:45 Utilizing advanced technology for more effective transaction monitoring

• Implementing AI for better risk management and enhancing monitoring capabilities

Transitioning from rule-based to ML models for transaction monitoring

Balancing AI-driven models with manual oversight to ensure accurate monitoring

• Managing the impact of new software and system upgrades on alert volumes and false positives

Indra Reddy Mallela, VP, Model Risk, Compliance and Fraud, MUFG

Steve Solazzo, Director of Risk and Compliance, Dow Jones

SANCTIONS SCREENING AND GEOPOLITICAL RISKS – PANEL DISCUSSION

2:20 Navigating geopolitical developments and managing associated risks with sanctions screening

Understanding the complexities of sanctions evasion and its impact on financial institutions

• Examining best practices for due diligence and monitoring transactions to detect potential sanctions evasion

• Preparing for changes in sanctions regulations and understanding their implications

• Adoption of AI technologies for sanction screening and decision-making processes

Examining challenges related to the expiration of OFAC licenses and impact on securities

Max Lerner, Managing Director, Global Head Sanction Compliance and Anti Bribery & Corruption, State Street

Andrew Jensen, Managing Director, Global Head of Sanctions, TD Bank

Alice Rojas, Managing Director, Americas Head of Sanctions Compliance, Société Générale

Hunter Kreger, SVP, Director of Financial Crimes Operations – OFAC Officer, Blue Ridge Bank

Alexandra (Alexa) Colquhoun, Head of Sales, Dow Jones

RISK ASSESSMENTS

3:05 Enhancing Risk Assessment measures across the financial sector

• Session details coming soon

Beth Berenbaum, Director, Risk Assessment Officer, ICBC NY Branch

3:40 AFTERNOON BREAK AND NETWORKING

FRAUD DETECTION VS AML MODELS

4:10 Key differences in validating fraud detection VS AML models

• Customer Type: Money launderers are typically internal customers with legitimate accounts, while fraudsters are often external actors

Addressing the lack of integration between technological systems and managing siloed technology

• Time Horizon: Money launderers take a long-term approach, blending illicit funds gradually, whereas fraudsters act quickly, exploiting short-term opportunities

Monitoring Focus: AML systems monitor long-term behavior patterns, while fraud systems prioritize rapid detection of specific events

Validation Approach: These differences require distinct validation methods, each demanding a unique thought process and focus

Chandrakant Maheshwari, FVP, Lead Model Validator, Flagstar Bank

EMERGING TECHNOLOGIES

4:45 Incorporating innovation and technology into financial crime infrastructures

• Leveraging AI and generative AI in financial crime processes to appeal to regulators

• Addressing vulnerabilities and enhancing infrastructure to prevent exploitation by financial criminals

• Understanding the need for both technical and domain expertise in implementing innovative solutions

Managing emerging risks of financial crime management in an enhanced technological landscape

Xiaoling (Sean) Yu, Director, Financial Crimes and Liquidity Risk

ModelingQuantitative Modeling & Advanced Analytics, KeyBank

5:20 CHAIR’S CLOSING REMARKS

5:30 END OF DAY ONE AND NETWORKING DRINKS RECEPTION

Agenda | Day 2 | March 26, 2025

8:00 REGISTRATION AND BREAKFAST

8:50 CHAIR’S OPENING REMARKS

CRYPTOCURRENCY – PANEL DISCUSSION

9:00 Understanding and managing evolving threats in the cryptocurrency landscape

• Leveraging AI to tackle financial crime issues related to cryptocurrencies

• Implementing KYC protocols in the cryptocurrency space to combat anonymity Strategies for combining technology to investigate cryptocurrency transactions

• Creating and implementing systems to detect threats and suspicious activities, including money laundering Best practices and return of experience

Deepthi Machavaram, Global Head of Digital Financial Crimes Compliance, Morgan Stanley

William Mack, Special Agent in Charge, U.S Secret Service

Milan Kosanovich, Supervisory Special Agent, FBI

CRYPTOCURRENCY REGULATIONS

9:45 Managing increased regulatory scrutiny following incidents involving crypto banks and money laundering

• Implementing cryptocurrency policies aligned with US Treasury guidelines

• Navigating the regulatory environment to ensure compliance with cryptocurrency transactions

• Creating and enforcing policies around cryptocurrency investments

• Addressing the various stances financial institutions take on cryptocurrency Embracing, ring-fencing, or avoiding?

Jason Foye, VP, Illicit Finance and Fraud, FINRA

10:20 MORNING REFRESHMENT BREAK AND NETWORKING

KYC

10:50 Increasing compliance in KYC processes to streamline process and reduce financial crime

• Ensuring compliance with KYC and data privacy regulations during ID verification Leveraging AI/ML within KYC process to mitigate financial crime and fraud

• Transforming KYC compliance to be frictionless for customers

• Ensuring effective KYC checks to prevent fraud

BANKS

VS FINTECHS – PANEL DISCUSSION

11:25 Understanding the gap between traditional banking and fintech in adopting new technologies

• Evaluating the risks and benefits associated with fintech and bank partnerships.

• Managing regulatory scrutiny and compliance challenges in bank-fintech collaborations

• Conducting oversight of fintech activities to manage AML and KYC risks

• Collaboration between banks and FinTech’s to leverage technology and enhance fraud prevention

Brian Borawski, SVP & Director, Payments Risk, Comerica Bank

Andrew Czupek, SVP, Head of Innovation and Advocacy, Northern Trust

Victor Cardona, SVP, BSA Officer, Head of Anti-Money Laundering, Golden State Bank

IDENTITY THEFT AND FRAUD

12:00 Implementing best practices and technology to prevent identity theft and account fraud

• Managing growing trends in fraud and identity theft

• The rise of deepfakes and sophisticated robocalls Exploring advanced technologies used by fraudsters and developing countermeasures

• Preparing for evolving fraud tactics and enhancing prevention measures

Utilizing AI and ID verification tools to protect against theft and fraud Pobereyko, Acting Asst. Special Agent in Charge, IRS Criminal Investigations

12:35 LUNCH BREAK AND NETWORKING

THIRD PARTY RISK MANAGEMENT

1:35 Managing third-party risk in financial crime

management

Ensuring third-party vendors adhere to the same standards and regulations as financial institutions

• Managing effectively to prevent risk of customer data breaches

Actively monitoring third parties to maintain oversight associated with KYC and transaction monitoring

• Leveraging technology for effective due diligence and oversight on third parties

Mitigating fraud, money laundering or financing of illegal activities

Hunter Kreger, SVP, Director of Financial Crimes Operations – OFAC Officer, Blue Ridge Bank

BLOCKCHAINS

2:20 Overview of blockchain technology and its potential applications in fraud prevention

Exploring scenarios where blockchain could reduce fraud risks in financial transactions

• Assessing the readiness of financial institutions to adopt blockchain technology. Understanding the limitations and challenges of blockchain adoption in the financial sector

• Potential use cases of blockchain to document authenticity and prevent fraud

2:55 AFTERNOON BREAK AND NETWORKING

COLLABORATION

3:25 Building sound partnerships to enhance crime prevention and effective cybersecurity measures

• Coordinating efforts between financial institutions and other sectors to combat financial crime

• Challenges and opportunities in establishing collaboration between financial institutions and other industries

Leveraging technology to facilitate coordinated approaches to financial crime prevention

Pamela Clegg, Former SVP, CCO and BSA Officer, United Texas Bank

MARIJUANA RELATED BUSINESSSES (MRB)

4:00 Understanding the growth of MRB and the impact this has to traditional banking

• Addressing risks of handling MRB.

• Managing potential fines and shutdowns related to MRB 4

Managing conflicts between state legalization and federal prohibition.

• Leveraging technology to mitigate risks associated with MRBs.

4:35 CHAIR’S CLOSING REMARKS

4:45 END OF DAY TWO AND END OF FINANCIAL CRIME USA 2025

Why should you be attending these sessions?

AML ACT

Overview of technological advancements required for AML ACT reform

• Addressing challenges for smaller institutions in meet FinCen requirements

• Managing lack of resource constraints and lack of technology infrastructures

• Addressing the challenges posed by rapid technological advancement in relation to regulatory frameworks

LEVERAGING AI /ML IN FINANCIAL CRIME PREVENTION

Deep dive into the future of AI/ML in financial crime prevention

• Leveraging AI and ML to improve fraud detection and reduce false positives

• Exploring the capabilities and boundaries of AI in detecting and preventing financial crimes

• Exploring generative AI to enhance operational efficiency in financial crime

SANCTIONS SCREENING AND GEOPOLITICAL RISKS

Navigating geopolitical developments and managing associated risks with sanctions screening

• Examining best practices for due diligence and monitoring transactions to detect potential sanctions evasion

• Preparing for changes in sanctions regulations and understanding their implications

• Adoption of AI technologies for sanction screening and decision-making processes

EMERGING TECHNOLOGIES

Incorporating innovation and technology into financial crime infrastructures

• Addressing vulnerabilities and enhancing infrastructure to prevent exploitation by financial criminals

• Leveraging AI and generative AI in financial crime processes to appeal to regulators

• Managing emerging risks of financial crime management in an enhanced technological landscape

BLOCKCHAINS

BANKS VS FINTECHS

Bridging the gap between traditional banking and fintechs in adopting new technologies

• Managing regulatory scrutiny and compliance challenges in bankfintech collaborations

• Evaluating the risks and benefits associated with fintech and bank partnerships.

• Conducting oversight of fintech activities to manage AML and KYC risks

Reviewing potential applications of blockchain in fraud prevention

• Exploring scenarios where blockchain could reduce fraud risks in financial transactions

• Assessing the readiness of financial institutions to adopt blockchain technology.

• Understanding the limitations and challenges of blockchain adoption in the financial sector

CRYPTOCURRENCY

Best practices to manage evolving threats in the cryptocurrency landscape

• Leveraging AI to tackle financial crime issues related to cryptocurrencies

• Implementing KYC protocols in the cryptocurrency space to combat anonymity

• Strategies for combining technology to investigate cryptocurrency transactions

TRANSACTION MONITORING

Leveraging advanced technology for effective transaction monitoring

• Implementing AI for better risk management and enhancing monitoring capabilities

• Transitioning from rule-based to ML models for transaction monitoring

• Balancing AI-driven models with manual oversight to ensure accurate monitoring

Sponsorship & Partnerships

Thought leadership

Advance your expertise, knowledge, and experience with a presentation, a panelist, or a roundtable discussion. Why not enhance that with an article published in Connect Magazine and CeFPro® Connect?

Lead generation

Meet with key decision makers and senior professionals at CeFPro® events, roundtables, or at an invite-only dinner.

Branding and awareness

Want to advance your organization and/or your products or offerings? What better way than at a live in-person event where you will meet leading decision-makers, or online through CeFPro®’s market intelligence reports, Connect Magazine, or Connect member’s hub.

Networking

Whether over coffee, lunch, drinks reception, or dinner, expand your network connections in person.

Lead Vendor Partner

Positioning in the industry

Whether you are the industry leader or a start-up, CeFPro® has opportunities to maintain, advance, or promote your standing among the risk community.

Targeted and one-on-one meetings

General promotion is no replacement for connecting with key decision-makers and C-suite professionals, whether at an event, a closed-door forum, a networking reception, or a VIP dinner.

Reach business buyers

Outside of marketing and promotion, CeFPro®’s extensive range of offerings can provide clients with opportunities to reach key decision-makers and buyers.

Would your organization like to partner with us on this event?

To discuss how we can deliver your thought-leadership at the event, help you generate leads, and provide you with unique networking and branding opportunities, please contact sales@cefpro.com or call us on (+1) 888 6777007 | +44 (0)207 164 6582 for more information.

Associate sponsors

2025 Speaker Line-up

Beth Berenbaum Director, Risk Assessment Officer ICBC NY Branch

Gregory J Calpakis BSA/AML Reform Program Manager & InfoSec Officer OCC

Alexandra (Alexa) Colquhoun Head of Sales Dow Jones

Milan Kosanovich Supervisory Special Agent FBI

Chandrakant Maheshwari FVP, Lead Model Validator Flagstar Bank

Gabriel Ngo Director, Governor’s Review Officer, Supervision Bank of Canada

Rebecca Schauer Robertson EVP BSA Officer Director, Financial Crimes Blue Ridge Bank

Delena D. Spann Cyber Fraud Task Force U.S Secret Service

Brian Borawski SVP & Director, Payments Risk Comerica Bank

Victor Cardona SVP, BSA Officer, Head of Anti-Money Laundering Golden State Bank

Andrew Czupek SVP, Head of Innovation and Advocacy Northern Trust

Hunter Kreger SVP, Director of Financial Crimes Operations – OFAC Officer Blue Ridge Bank

William Mack Special Agent in Charge U.S Secret Service

Oleg Pobereyko Acting Asst. Special Agent in Charge IRS Criminal Investigations

Shankha Sen Global Head of Financial Crimes Compliance, Data and Analytics BNY

Julianne Susman ED & Counsel Global Financial Crimes Legal Morgan Stanley

To view the full Financial Crime USA 2025 speaker biographies scan the QR code or click here

Xihua ‘Sabrina’ Chen Global Head of AML/ Customer Risk / Data Science Senior Lead Citi

Jason Foye Illicit Finance and Fraud FINRA

Jay Krish Head of AMl/FCC Data Governance State Street

Deepthi Machavaram Global Head of Digital Financial Crimes Compliance Morgan Stanley

Alice Rojas Managing Director, Americas Head of Sanctions Compliance Société Générale

Patrick Simonnet Chief Audit Executive Bank of China

Sasha Tuel Head of Customer Success Weave.AI

Pamela Clegg Former SVP, CCO and BSA Officer United Texas Bank

Andrew Jensen Managing Director, Global Head of Sanctions TD Bank

Max Lerner Managing Director, Global Head Sanction Compliance and Anti Bribery & Corruption State Street

Sateesh Kumar Challa Head of Digital Transformation Office Société Générale

Indra Reddy Mallela VP, Model Risk, Compliance and Fraud MUFG

Steve Solazzo Director of Risk and Compliance Bank of China

Xiaoling (Sean) Yu Director, Financial Crimes and Liquidity Risk Modeling Quantitative Modeling & Advanced Analytics KeyBank

Convince your Boss

#1 What Your Boss Will Say: “What’s included within the ticket price?”

“For the price of my ticket, not only will I gain full access to both days of CeFPro’s FinCrime, Tech, AI & Innovation Congress, I will also receive breakfast, lunch, and refreshments throughout, and a complimentary drinks reception at the end of day-1.

The learning opportunities don’t stop there as once the event has ended I will receive exclusive access to post-event materials and resources, and a portal log in to CeFPro Connect, my new personalized gateway to the latest risk intelligence and insights.”

#2 What Your Boss Will Say: “Will you learn anything of value that we can integrate into our strategy?”

“The agenda for the event has been carefully curated through an extensive research project involving speaking to more than 25 financial crime experts from prestigious financial institutions. As a result, the agenda is a direct reflection of the top-of-mind challenges and opportunities that senior practitioners are integrating into their own strategies.

These sessions will offer me practical insights and the latest advancements inot financial crime prevention that I will then be able to directly apply to enhance and innovate our own operation. The knowledge I gain will help our department refine our approach, identify new opportunities, and address emerging challenges in the industry.”

1 3 4 6

#3 What Your Boss Will Say: “What specific benefits will attending this event bring to our team?”

“There is the opportunity to turn this event into a team building and development exercise with sessions on current critical matters such as: Emerging technologies, AML ACT Reform, Leveraging AI and many more. As such there a group discounts available which make it easier for us to get the team together, deep dive into these critical subject matters, and discuss what we have learnt and how we can apply this in between breaks.

If it’s just me attending, I will still receive access to the post-event materials and resources to consolidate the knowledge gained which I can then share with the team when I return. I can also refer the team to CeFPro Connect where they can make a free account and benefit from all the additional resources on offer.

During the event, whether I attend with colleagues or by myself there will be over 8 hours of networking opportunities with industry leaders to discuss our sector and obtain their knowledge for our own gain and application.”

#4 What Your Boss Will Say: “What will we do with you out of the office for 2 days?”

“ The venue will have WIFI so I will be able to bring my laptop with me if necessary. There are also many breaks throughout the day for lunch and refreshments so I will have many opportunities to step out and support the team if needed.

The benefits and resources that not just me, but our department will gain from at least one of us taking advantage of the excellent opportunity to better understand our industry will be a valuable use of my time for greater good. By attending, the extended learning opportunities that I will be exposed to beyond the event will continue making this a worthwhile investment of my time.”

#5 What Your Boss Will Say: “How will you share the knowledge and insights gained with the rest of the team?”

“I will be able to take notes throughout the sessions so that I can share key takeaways and points of reflection that we should consider. If you like, I could even do a presentation or report on the findings and my recommendations to share everything I have learnt.

There’s also the post-event materials and resources which will include copies of the presentations, behind-the-scenes deep-dive interviews with the speakers, and related articles and videos that support what I have learnt which I can share with the team also.”

For further help in convincing your boss to let you attend, Scan the QR code or click here for access.

Enjoy a premium experience with anticipatory service, sophisticated style and incredible views.

Situated in the Financial District close to One World Observatory, offers breathtaking elegance and contemporary design.

New York Marriott Downtown 85 West Street At, Albany St, New York, NY 10006, United States

Explore Downtown NYC. Provides guests with an optimal location in Lower Manhattan, close to an array of NYC attractions.

Nearby Hotels

Conveniently located just steps from Wall Street and the heart of the Financial District, putting you at the center of all the action.

Booking a hotel in downtown New York for the Financial Crime USA event ensures you’re right in the heart of the action, making it convenient to attend every session, and soak up the vibrant city atmosphere without the hassle of commuting.

• New York Marriott Downtown

• DoubleTree by Hilton New York Downtown

• Millennium Downtown New York

• Washington Square Hotel

Registration

Launch Rate

December 13

Early Bird Rate

February 21

Standard Rate

After February 21

*For those representing a financial institution/government body

Group Rates

Seize the opportunity, bring the team to advance their professional development and knowledge with our group booking promotion.

50% OFF:

Purchase two tickets and receive the third registrant at 50% off the prevailing rate

Free Pass:

Don’t stop there, as the more people you register, the better the savings. With every four tickets bought, the fifth is on us, completely free!

Bringing your team not only enhances the overall experience, but also fosters significant team building among colleagues while allowing you to save on your registration.

What’s Included

Access to 10+ sessions

Networking: 3+ hours

Lunch + Refreshments

Networking cocktail reception

PPT slides/decks

Podcasts with industry experts

Videos and interviews from the event

Connect agazine complimentary

CeFPro Connect membership

Community network and engagement

Market intelligence reports access

To register your place at the best rate possible, click here, or scan the QR code.

Topic Related Insights

Can AI Revolutionize Financial Security? The Transformation of Anti-money Laundering and Fraud Prevention

Xiaoling Yu, Head of Finanical Crimes and Liquidity Risk Modelling, KeyBank Indra Reddy Mallela, VP - Model Risk Manager, Compliance and Fraud, MUFG Bank

As artificial intelligence (AI) continues to evolve, its role in security enhancement, anti-money laundering (AML), and fraud prevention is becoming increasingly critical. In a recent panel discussion, industry leaders Sean Yu, Head of Financial Crimes and Liquidity Risk Modelling at KeyBank, and Indra Reddy Mallela, VP –Model Risk Manager at MUFG Bank, shared their insights into the practical applications of AI in financial institutions. They explored AI’s growing importance in combating financial crime, the challenges it faces, and the balance between human oversight and machine efficiency.

The conversation focused on how AI is reshaping the approach to financial crime detection and prevention, with each expert offering unique perspectives based on their extensive experience in the field.

AI: A Game-Changer in Financial Crime Prevention

Financial institutions have traditionally relied on rule-based systems to detect suspicious activities. These systems, while effective, often result in a high volume of false positives,

overwhelming investigators and allowing some malicious activity to slip through the cracks. AI promises to reduce these inefficiencies, using machine learning and advanced algorithms to significantly enhance the detection process.

“Currently, we have a traditional approach where most financial institutions use rule-based systems to monitor transactions for suspicious activity,” said Indra Reddy Mallela. “However, this approach often leads to a high volume of false positives, overwhelming investigators and increasing the possibility that suspicious activity goes unnoticed.”

Mallela explained that AI can reduce false positives by about 20% to 25%, allowing financial institutions to allocate resources more effectively.

To continue reading click here, or scan the QR code.

“By considering machine learning approaches in real-time transaction monitoring, we’ve seen significant improvements—not only in reducing false positives but also in identifying suspicious activities that were previously missed,” he added.

Topic Related Insights

The Evolution of Fraud Risks and Prevention Tactics in the Age of AI

In the rapidly evolving landscape of fraud prevention, one of the most pivotal advancements of recent years has been the integration of artificial intelligence (AI).

There’s no doubt that the emergence of AI and machine learning in all its forms has presented the financial services sector with a broad horizon of solutions, tools, and systems that leave it better able to identify, mitigate, manage, and contain risks of all types.

As a result, banks and other providers of financial services have been able to streamline their processes and practices, making them leaner, more dynamic, and – hopefully – more profitable.

But those opportunities also come with challenges in combating fraudulent activities worldwide. So, how do we harness all the benefits of AI, filter out its shortcomings as far as we possibly can, and chart a course forward in an increasingly digital and interconnected world?

So, if AI is both a catalyst for efficiency and a potential instrument for fraud, how do

organizations embrace AI to enhance operations such as Know Your Customer (KYC) protocols, client onboarding, lending assessments, and personalized marketing? AI-powered customer support systems have become commonplace, demonstrating the technology’s broad application in improving user experience and operational efficiency.

However, alongside these advancements comes a growing concern: the misuse of AI by malicious actors. A notable recent example involved AIgenerated virtual personas used to orchestrate fraudulent activities, such as mimicking a CFO in a fabricated board meeting to siphon funds illegally.

Such instances highlight the urgent need for regulated AI deployment to mitigate emerging risks effectively. Tibor Bartels, Managing Director and Head of Transaction Services at ING in Rye, New York, says that shared experience may count for a lot in an environment where received wisdom on managing fraud risk changes depending on its context.

To continue reading click here, or scan the QR code.

“I think the greatest risk that will occupy the industry over the next two years is how information and data is used and misused,” he says.

Great minds think alike, but brilliant minds think differently.

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