Hi [[ session.user.profile.firstName ]]

How to Detect ACH Fraud with Machine Learning and Behavioral Analytics: Part One

In this webinar, Guardian Analytics Fraud experts will describe Same Day ACH BEC fraud scheme and explain how Guardian Analytics' machine learning and behavioral analytics patented technology can help you combat ACH social engineered fraud scheme.

The Same Day ACH Fraud detection is part of a four-part ACH webinar series that includes:
- ACH Kiting Fraud
- ACH Small Transactions Fraud
- ACH Payroll Fraud
- Same Day ACH BEC Fraud
Recorded Feb 20 2018 35 mins
Your place is confirmed,
we'll send you email reminders
Presented by
Chris Ferrer, Product Manager, Guardian Analytics
Presentation preview: How to Detect ACH Fraud with Machine Learning and Behavioral Analytics: Part One

Network with like-minded attendees

  • [[ session.user.profile.displayName ]]
    Add a photo
    • [[ session.user.profile.displayName ]]
    • [[ session.user.profile.jobTitle ]]
    • [[ session.user.profile.companyName ]]
    • [[ userProfileTemplateHelper.getLocation(session.user.profile) ]]
  • [[ card.displayName ]]
    • [[ card.displayName ]]
    • [[ card.jobTitle ]]
    • [[ card.companyName ]]
    • [[ userProfileTemplateHelper.getLocation(card) ]]
  • Channel
  • Channel profile
  • The Makings of an Effective Enterprise Fraud Management Solution Nov 7 2019 7:00 pm UTC 45 mins
    Eric Tran-Le
    Enterprise Fraud Management (EFM) solution helps financial institutions increase fraud operation efficiency and reduce costs. In this webinar, we will discuss the pragmatic approach for a successful EFM implementation; highlight the critical capabilities an effective EFM must support to maximize its benefits; and examine these capabilities in real-world examples.
  • Explainable Machine Learning Models - AML & Fraud Machine Learning Models Oct 24 2019 6:00 pm UTC 45 mins
    Matt Lau, Eric Tran-Le, Jason Chorlins, Thomas Lee
    - Learning where Fraud & AML workflows converge and diverge
    - Understanding AI/ML Data Preparation & Model Validation Requirements
    - Exploring a Migration Path to AI/ML
  • Monitor and Analyze Brute Force Attacks using Fraud Detection Analytics Oct 17 2019 6:00 pm UTC 45 mins
    Wendy Xue - Director Product Management, Sayalee Pawar - Product Manager
    Learn how Guardian Analytics’ Fraud Detection Analytics helps financial institutions monitor brute force attacks and perform postmortem analysis to prevent future attacks.
    In this webinar, we will discuss the symptoms of a digital banking brute force attack, how Fraud Detection Analytics helps identify a brute force attack, and how it provides insights for financial institutions to understand vulnerabilities exploited by the fraudsters during a brute force attack.
    Guardian Analytics’ Fraud Detection Analytics complements our fraud detection application. Fraud Detection Analytics offers solutions for FIs of all sizes, whether an FI has its own BI team that can build custom reports, or is looking for out-of-the-box reports.
  • De-risk Customer Onboarding with Flexible KYC, Real-time CDD & Data Verification Recorded: Sep 19 2019 38 mins
    Matt Lau, Product Manager, Guardian Analytics, Zac Sheldon, Financial Compliance & Risk Analytics Specialist, Thomson Reuters
    Guardian Analytics, the market leader in real-time behavioral analytics and machine learning for fighting financial crimes and Thomson Reuters announce a strategic integration to deliver a state-of-the-art modern AML platform to help financial institutions deliver a simultaneously great on-boarding KYC experience while also enforcing CDD in real-time.
  • Fighting RDC Mobile Banking Fraud with Machine Learning Recorded: Sep 5 2019 37 mins
    Sayalee Pawar, Wendy Xue
    Mobile banking use is on the rise, and as banking services grow, so do fraud attempts using mobile banking capabilities. Fraudsters have repeatedly created schemes by blending traditional tactics with new technologies or new banking services. A recent technique involves a very old form of payment – checks – with a newer, but rapidly growing mobile banking service – remote deposit capture (RDC) – to commit check fraud. The mobile banking scams leveraging RDC most frequently in use are the Sweetheart Scam and Fake Online Payday Lenders. This session will provide insights on how criminals are using mobile banking to commit check fraud and how financial institutions can successfully prevent losses and proactively help their customers avoid future fraud problems.
  • Detect and Report Money Laundering Schemes with Guardian Analytics Evidence Lake Recorded: Jun 26 2019 38 mins
    Eric Tran-Le, VP Product Management. Matt Lau, Product Manager
    Micro-Structuring and Funneling activities are commonly used simultaneously by criminal organizations to clean “illicit” money during the Placement, Layering, and Integration stages. These activities are frequently unreported as criminals try to transact right below the detecting thresholds of the traditional rules. Learn how Guardian Analytics AML Evidence Lake can easily detect Micro-Structuring and Funneling activities in all stages of money laundering.
  • Digital & Payments Behavioral Customer Segmentation with Fraud Analytics Recorded: Jun 6 2019 24 mins
    Wendy Xue - Director Product Management, Sayalee Pawar - Product Manager
    With Guardian Analytics Fraud Analytics, financial institutions can create a digital & payments customer segmentation. Digital and transactional behavioral data can provide clues as to how to personalize banking products and services to each segment while behavioral fraud analytics provides the right data for risk analytics. In this webinar, you will learn how to build a digital & payment behavioral customer segmentation using data extracted from Guardian Analytics Machine Learning & Behavioral Fraud Detection solution.
  • The Path to Modern AML Compliance - Neil Katkov Celent Research Group Recorded: May 30 2019 56 mins
    Neil Katkov, Senior Vice President at Celent, Eric Tran-Le Vice President at Guardian Analytics
    AML systems generate a high proportion of false positives, often surpassing 80 or 90% of alerts, resulting in soaring compliance costs at large banks and operational bottlenecks at most institutions. Implementing next-generation technologies including cloud-based intelligent automation and machine learning will increase efficiency and improve efficacy in AML operation for many banks and credit unions.
  • Real-time CDD/EDD Risk Scoring & Identity Verification Recorded: Mar 28 2019 40 mins
    Guardian Analytics and Alloy
    De-Risking Customer Onboarding is a challenge, current legacy tools are inflexible leading to very long onboarding time and a lot of tedious manual processes. Guardian Analytics modern AML CDD/EDD and Alloy real-time identity verification bring leading-edge technologies to:

    - Automatically check a customer’s background against various databases and sanction lists
    - Simplify the onboarding process
    - Helps banks respond faster to any changes in regulatory laws
  • Seamless Upgrade to a Modern AML Platform: Star One Credit Union Testimonial Recorded: Jan 31 2019 31 mins
    Lynn Brubaker VP Star One Credit Union, Eric Tran-Le Vice President of Product Management Guardian Analytics
    Banking regulators encourage financial institutions to explore modern technologies to reduce significantly false alerts, investigation time and operating costs.

    Star One Credit Union VP Lynn Brubaker, BSA Officer, will walk through the key considerations to modernize their current AML system with Guardian Analytics Modern AML EvidenceLake™ Platform.

    Join our webinar, and you will learn how to:

    • Significantly reduce the number of alerts false positives
    • Speed up your investigation time by 200%
    • Substantially reduce your AML Operating Costs
  • Fighting Faster Payments Fraud With Machine Learning Recorded: Jan 23 2019 43 mins
    Eric Tran-Le, VP of Product Management, Wendy Xue, Director of Product Management, at Guardian Analytics
    Fraud follows speed. Faster payments leave no time for manual review of transactions and no room for high false positives. Learn how machine learning based fraud detection can mitigate fraud in real-time with low false positives, ensure positive customer experiences, and transform fraud operations from loss-recovery to loss-prevention.
  • Real-time Digital Banking Fraud Detection Recorded: Nov 27 2018 31 mins
    Eric Tran-Le, VP, Product Management, Guardian Analytics
    "A stolen account credential cost less than $25 on the darknet, you can even have a bundle for $35 with the associated social security number" Source: Darknet

    Guardian Analytics Fraud Intelligence research on our customer’s Digital Banking accounts activities shows:

    • Over 20% of Online & Mobile events are IP geolocation changes related
    • Over 30% of Online & Mobile events are associated with money transfers via Wire or ACH

    Here are some key challenges:
    • A user can have multiple IP address depending on their home router, office proxy, traveling hotspot location…
    • Should you detect suspicious Online and Mobile events?
    • Should you detect the subsequent suspicious money transfer activities resulting from suspicious Online and Mobile events?
    • Do both?
    • Should you block an IP address coming from an infected device?

    Guardian Analytics machine learning and fraud behavioral analytics risk engine monitors in real-time hundreds of digital banking fraud risk indicators from anomalous login behavior including time of day, day of week, IP address change velocity, to device fingerprinting and configuration changes, wire recipient unusual changes, ACH recipient unusual changes, malware detected on devices…
    and calculate a real time risk score for every digital banking user enabling Financial Institutions to detect digital banking suspicious activities.


    • Detect suspicious digital banking activities in real-time
    • Detection unusual digital banking related ACH and Wire money transfers
    • Enables real-time intervention on payment channel to avoid illicit funds transfers
    • Increase operational efficiency by focusing on the highest risk transactions and reducing callbacks
    • Enhance compliance by meeting FFIEC guidelines for anomaly detection
  • Increase Your Operational Efficiency & Fraud Intelligence with Fraud Analytics Recorded: Oct 11 2018 41 mins
    Eric Tran Le, VP of Product Management
    Guardian Analytics Fraud Analytics provides a single place where Fraud Managers and Business Intelligence users can collaborate on Alert, Case Risk Analytics combined with User Activity and Location Analytics cross Payment Channels.
    This webinar will showcase how easy it is to interact with powerful dashboards built with your favorite office productivity tools. We will do a walk-thru of the following features:
    -Alert & Case Analytics Operational KPIs
    -Activity Analytics Dashboard
    -Location Analytics Dashboard
    -User Account Fraud Intelligence Dashboard
  • Seamless Upgrade to a Modern AML Platform: Star One Credit Union Testimonial Recorded: Sep 27 2018 32 mins
    Lynn Brubaker VP Star One Credit Union, Eric Tran-Le Vice President of Product Management Guardian Analytics
    Star One Credit Union VP Lynn Brubaker will describe the key considerations to modernize their current AML system to Guardian Analytics Modern Evidence Lake Platform. Guardian Analytics will present the seamless upgrade path and the key benefits gained on 4 core AML transaction monitoring flows:
    - AML Rule Initialization
    - Detection to Alert
    - Alert to Investigation
    - Investigation to SAR Filing
  • How to Comply with the New FinCEN Beneficial Ownership Rule Recorded: Jul 25 2018 24 mins
    Ranay Allred, Former Asst. BSA/AML Compliance Officer & Matthew Lau, CAMS, AML Product Mngr, Guardian Analytics
    With the new FinCEN CDD rule in effect as of May 11th, 2018, financial institutions must now to identify and verify the identity of the beneficial owners of legal entity customers who own, control, and profit from companies, when those companies open accounts. This webinar will describe the impact of new rule and explain the different ways to comply with FinCEN's ruling, including how to define, collect, and monitor beneficial ownership accounts.
  • How to Prevent Peer-to-Peer (P2P) Payment Fraud in Real-Time Recorded: Jun 28 2018 50 mins
    Eric Tran-Le, Vice President of Product Management, Shirley Inscoe, Senior Analyst at Aite Group
    Guardian Analytics and Aite Research Group will describe the different types of real-time payments in digital banking from online bill pay to emerging P2P payments and explain why machine learning and behavioral analytics are needed to prevent fraud in real-time
  • Detect ACH Payroll Fraud in Real-time Recorded: May 8 2018 23 mins
    Eric Tran-Le, VP, Product Management, Guardian Analytics
    Payroll hacks are common and they are difficult for banks to detect and prevent. From Business Email Compromise (BEC) to Payee Edit Fraud, fraudsters do not create new batch or transaction but rather modify the recipient number of an existing ACH batch. According to ACFE survey it takes almost 2 years to detect a payroll fraud. With Guardian Analytics machine learning and behavioral analytics fraud detection you can detect ACH fraud on payroll systems as they come and trigger real-time intervention to hold or reject suspicious ACH payroll transactions.
  • How to Detect Wire Fraud with Machine Learning and Behavioral Analytics Recorded: Apr 23 2018 34 mins
    Eric Tran-Le, VP, Product Management, Guardian Analytics
    This webinar is part one of the Wire Webinar Series. We will be discussing how you can leverage Guardian Analytics behavior-based, real-time wire fraud detection solution to monitor all activities and transactions for each account holder allowing you to build a profile of each user’s typical behavior. Tracked activities include hundreds of elements from payment amounts, wire originators and recipients, plus online login, session duration, sequence of activities during each session.
  • Increase AML Investigation Efficiency by 200% with an AML Evidence Lake™ Recorded: Mar 29 2018 24 mins
    Eric Tran-Le, VP, Product Management, Guardian Analytics
    In this webinar, Guardian Analytics AML experts will demonstrate how automation will optimize the evidence collection in a single source of truth and how a point and click modern UI will ease the investigation process and streamline the case narratives by documenting the relevant evidence for automatic e-filing.
  • Best Practices for Fighting Modern Financial Crime and Anti-Money Laundering Recorded: Mar 14 2018 35 mins
    Matthew Rosen, Founder of FIntel, Eric Tran-Le, VP of Product Management, at Guardian Analytics
    In this webinar, Eric Tran-Le and Matthew Rosen will describe:
    - How modern money laundering rings are using virtual currencies, such as Bitcoin.
    - How the "AML Evidence Lake™ Platform" detects "Bitcoin" usage from multiple suspicious account holders
    - How hidden financial patterns emerge from cross-institution secure data sharing under Section 314(b)
    - How analysts can proactively communicate and exchange information with counterparties through Fintel's network.

    About the Speakers:
    Matthew Rosen, former founding Deputy Director of Mayor Bloomberg’s Financial Crime Task Force and Manhattan Assistant District Attorney, and now Chief Executive Officer and Founder of Fintel.

    Eric Tran-Le, Head of Product Management at Guardian Analytics. He has over 20 years of experience in Product Management and led Cloud Security Analytics at Oracle.
A Modern Platform to Fight Financial Crimes
Guardian Analytics fights modern crime with a modern platform.

We are the pioneer and leading provider of behavioral analytics and machine learning solutions for fraud detection and anti-money laundering software for financial institutions and enterprise organizations.

Our solutions include Digital Banking Fraud Detection for Mobile and Online, Real-Time Payment Fraud Detection for Wire and ACH. Anti-Money-Laundering solutions that include Link Analysis and FinCEN reporting, addressing AML compliance requirements on a single platform, streamlining the case filing process.

Over 450 financial institutions have standardized on Guardian Analytics’ innovative solutions to mitigate fraud risk and stop the sophisticated criminal attacks targeting retail, commercial, and enterprise banking clients. With Guardian Analytics, financial institutions build trust, increase competitiveness, improve their customer experience, enhance compliance and scale operations.

Guardian Analytics is privately held and based in Mountain View, CA. For more information, please visit www.GuardianAnalytics.com.

Guardian Analytics is a registered trademark of Guardian Analytics, Inc

Embed in website or blog

Successfully added emails: 0
Remove all
  • Title: How to Detect ACH Fraud with Machine Learning and Behavioral Analytics: Part One
  • Live at: Feb 20 2018 7:00 pm
  • Presented by: Chris Ferrer, Product Manager, Guardian Analytics
  • From:
Your email has been sent.
or close