Meeting/Event Information

The Future of Financial Fraud: AI, Deepfakes & Digital Evidence Detecting sophisticated fraud, verifying financial documents, and transforming data into evidence and recoveries

 

November 16, 2026
11:30 AM PST - 1:30 PM PST
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Virtual Webinar

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The Future of Financial Fraud: AI, Deepfakes & Digital Evidence

Detecting sophisticated fraud, verifying financial documents, and transforming data into evidence and recoveries

Join us for an engaging, two-hour webinar exploring how artificial intelligence is transforming fraud detection, investigation, and prevention across financial services and beyond. As fraud schemes become increasingly sophisticated, AI-powered analytics and advanced document verification are creating new opportunities to uncover suspicious activity, expose fraudulent evidence, and strengthen investigations.

Bringing together expertise in AI-powered fraud investigations and cutting-edge deepfake detection, this webinar will explore how technology and human expertise can work together to identify complex fraud schemes, verify financial documents, and turn data into actionable evidence.

Whether you are a Certified Fraud Examiner (CFE), financial crime investigator, compliance professional, or fraud prevention specialist, you will gain insights into the evolving fraud landscape and the tools shaping its future.

Event Details

Date: Monday, November 16, 2026
Time: 11:30 AM–1:30 PM Pacific Time (PT) / 2:30–4:30 PM Eastern Time (ET)
Format: Virtual Webinar
CPE Credit: Up to 2 CPE credits, subject to applicable eligibility and attendance requirements.

Webinar Agenda

11:30–11:35 AM PT | Welcome & Introductions

Opening remarks, agenda overview, and speaker introductions.

11:35 AM–12:25 PM PT | Session 1

The Future of Fraud Detection: How AI Is Transforming Fraud Investigations

Turning Data Into Evidence, Investigations, and Recoveries

Speaker: Benjamin Kosinski, Co-Founder & CEO, TruthArrow

Discover how AI-powered data mining and experienced fraud investigators can work together to identify suspicious patterns, uncover complex fraud schemes, and develop evidence-backed investigations.

Topics include:

  • The evolution of fraud detection and the limitations of traditional investigative methods.
  • How TruthArrow combines AI-powered data mining with experienced fraud investigators.
  • Identifying potential healthcare billing fraud, government contracting fraud, and other schemes.
  • Understanding the False Claims Act and how suspicious patterns can lead to potential cases.
  • Turning data into actionable evidence, estimating damages, and advancing investigations toward attorney review and potential litigation.
  • Opportunities for Certified Fraud Examiners to collaborate on investigations and participate in performance-based compensation arrangements tied to successful recoveries.

About the Speaker

Benjamin Kosinski is Co-Founder & CEO of TruthArrow, an AI-powered fraud detection and investigation platform.

Benjamin has founded multiple technology companies, including MadeMeBuyIt, which was acquired by Wayflyer in 2024. His background spans technology, financial services, and private credit.

At TruthArrow, Benjamin focuses on combining advanced AI technology with the expertise of experienced fraud investigators to identify complex fraud schemes, develop evidence-backed cases, and pursue large-scale fraud recoveries. TruthArrow works with fraud examiners, former government investigators, industry experts, and attorneys to transform data into actionable fraud investigations.

Session format: 40-minute presentation followed by 10 minutes of Q&A.

12:25–12:30 PM PT | Networking Break

Connect informally with fellow attendees and industry professionals.

12:30–1:20 PM PT | Session 2

Beyond the Fake: How AI Detects Deepfakes and Fraudulent Financial Documents

Uncovering Forged Bank Statements, Fake Proof of Income, and Synthetic Financial Evidence

Speaker: Ben (Simiao) Ren, Ph.D., Scam.ai

Explore how AI-powered document verification is helping combat increasingly sophisticated financial fraud. This session will examine how deepfake technologies and manipulated documents can undermine traditional verification processes—and how advanced detection techniques can help identify suspicious or falsified financial records.

Topics include:

  • The evolving threat of AI-generated and manipulated financial documents.
  • Detecting fraudulent bank statements, falsified proof-of-income documents, and other deceptive financial records.
  • How AI can help identify document inconsistencies, signs of manipulation, and potential synthetic evidence.
  • Challenges and emerging approaches in financial document verification.
  • Practical implications for fraud investigators, financial institutions, and risk and compliance professionals.

Session format: 40-minute presentation followed by 10 minutes of Q&A.

1:20–1:30 PM PT | Closing Networking & Final Q&A

Share final questions, discuss key takeaways, and explore opportunities to apply the insights gained during the webinar.

Who Should Attend?

This webinar is designed for Certified Fraud Examiners (CFEs), fraud investigators, financial services professionals, banking and lending teams, compliance and risk specialists, forensic accountants, and anyone interested in leveraging AI to detect, investigate, and prevent fraud.

CPE Information

Attendees may earn up to 2 CPE credits, calculated using the rate of one CPE credit per 50 minutes of qualifying educational presentation time. The two 50-minute speaker sessions provide 100 minutes of scheduled presentation and Q&A time, equivalent to 2 CPE credits under this formula. 

RSVP Now to Secure Your Spot!

Join us to explore how AI is reshaping fraud investigations, how emerging technologies are exposing sophisticated document fraud, and how these innovations can strengthen financial crime prevention.

We look forward to seeing you there!

Sincerely,
ACFE SF Bay Area Chapter Board

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Tickets

$10.00 Chapter Member

$30.00 Non-Chapter Member

$10.00 Chicago Chapter Member

$0.00 Student

$0.00 Government/Law Enforcement