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

Increase AML Investigation Efficiency by 200% with an AML Evidence Lake™

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.
Recorded Mar 29 2018 24 mins
Your place is confirmed,
we'll send you email reminders
Presented by
Eric Tran-Le, VP, Product Management, Guardian Analytics
Presentation preview: Increase AML Investigation Efficiency by 200% with an AML Evidence Lake™

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
  • Detect ACH Payroll Fraud in Real-time May 8 2018 6:00 pm UTC 30 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.
  • Real-time Digital Banking Fraud Detection: Part One Recorded: Feb 28 2018 31 mins
    Eric Tran-Le, VP, Product Management, Guardian Analytics
    In this webinar, Guardian Analytics Fraud experts will describe the most common method and point of compromise and explain how Guardian Analytics' machine learning and behavioral analytics patented technology can help you combat Digital Banking Fraud.

    The Account Takeover Fraud Detection webinar is part of a four-part Digital Banking Fraud Detection webinar series that includes:
    - Online Wire Request to Defeat Out-of-Band Confirmation
    - Funeral Scheme Using Compromised Email Account
    - Commercial Account Takeover to Defeat Dual Controls
    - Mobile Banking Fraud Using Remote Deposit Capture (RDC)
  • How to Detect ACH Fraud with Machine Learning and Behavioral Analytics: Part One Recorded: Feb 20 2018 35 mins
    Chris Ferrer, Product Manager, Guardian Analytics
    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
  • Fighting Financial Crime in the World of Blockchain Recorded: Jan 18 2018 49 mins
    Zilvinas Bareisis, Senior Analyst, Celent and Alenka Grealish, Senior Analyst, Celent
    With banks worldwide running proofs of concept for a number of use cases based on blockchain technology. It has become a question of when, not if, many of these initiatives will move into the production stage.

    Now is a good time to consider what the expected adoption of blockchain and cryptocurrencies are likely to mean for fraud in banking and commerce.

    Attend the webinar to learn:
    -How banks and businesses are adopting distributed ledger technologies (DLT)
    -What fraud and financial crime implications are created by the use of DLT
    -What tools will be required in the future to mitigate DLT-related fraud
  • Multi-Channel Fraud Detection: Star One Credit Union Experience Recorded: Dec 13 2017 63 mins
    Margaret Mucker, EVP Operations, Star One Credit Union & Karen Webster, CEO, Pymnts.com
    Join Star One Credit Union, a financial institution with more than $9B in assets, as they discuss how they leverage their Guardian Analytics financial crime prevention platform to detect anomalies and suspicious activity in their online, mobile, and payments channels.

    In this webinar Margarete Mucker, EVP of Operations from Star One Credit Union, shares what her organization is doing to protect their members from fraud.
  • Preventing ATO in a post-Equifax World: Forrester Research & Guardian Analytics Recorded: Nov 15 2017 49 mins
    Andras Cser VP, Principal Analyst in Security & Risk Forrester Research,Eric Tran-Le,VP Product Management Guardian Analytics
    Although the recent Equifax breach that reportedly compromised 143 million accounts has sent consumers scrambling to protect their assets, financial institutions and corporations are likely to feel the impending effects of this attack as well.

    It is predicted there will be a surge in social engineering and BEC scams, as the hackers now have a wealth of information needed to impersonate individuals and corporate entities in a variety of contexts. However, the right strategic approach and technology solutions can effectively mitigate the fraud risk.

    In this webinar, guest speaker Andras Cser, VP, Principal Analyst in Security & Risk from Forrester Research, provides an expert industry perspective and discuss what financial institutions and corporations can do to protect themselves. You will gain insight into how organizations are raising their defenses, understand the best practices to minimize fraud loss, and learn how advanced analytics solutions can help minimize the risk.
  • Fraud Detection with Behavioral Analytics: Webster Bank Experience Recorded: Jun 15 2017 12 mins
    Kim Syrop, SVP of Fraud Loss and Management for Webster Bank
    Watch this on-demand video to learn how machine learning and behavioral analytics are essential components to fight fraud in the 21st century.

    1. How machine learning and behavioral analytics work
    2. Why modern fraud attacks are no match for a behavioral analytics approach
    3. How companies can use behavioral analytics to reduce fraud, scale operations, and ensure compliance
    4. What Webster Bank has done to combat attempted fraud
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: Increase AML Investigation Efficiency by 200% with an AML Evidence Lake™
  • Live at: Mar 29 2018 6:00 pm
  • Presented by: Eric Tran-Le, VP, Product Management, Guardian Analytics
  • From:
Your email has been sent.
or close