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Pattie Dillon on Anti-Fraud Careers and Leveraging Underground Data

N2K NetworksMay 25, 20259 min155 views
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Career Transition and Passion for Fraud Prevention

  • πŸ’‘ Pattie Dillon transitioned into a career focused on preventing fraud after raising her family, driven by a desire for fulfillment.
  • 🎯 Her journey in anti-fraud and cybersecurity spans nearly 20 years, starting with a small company serving small to medium-sized businesses.

Evolution of Identity Verification

  • πŸ”‘ Early work involved developing an age verification solution for an online tobacco business, with a focus on privacy and avoiding the need for sensitive personal data like Social Security numbers.
  • πŸš€ This evolved into broader identity verification solutions, highlighting the potential to significantly prevent online fraud.

Understanding Underground Data

  • πŸ’° Pattie's experience expanded to include gift cards and learning about money laundering, leading her to explore underground data.
  • ⚠️ A common misconception is that all users are equally exposed or that breach data is only valuable to criminals; however, this data can provide crucial signals of user risk.
  • πŸ“ˆ Breached and exposed underground data can be leveraged to identify both high-risk and low-risk users, aiding in fraud prevention.

Challenges and Advice in Anti-Fraud

  • βš–οΈ A disparity often exists between smaller fraud divisions and larger business growth divisions, which can overtax fraud teams.
  • 🀝 Sharing success stories and insights into attack types is crucial for strengthening the collective fight against cybercrime and fraud.
  • 🌱 Aspiring professionals should align with the mission, possess a passion for preventing fraudulent events, read insatiably, and network with people.
  • πŸš€ Dillon emphasizes the importance of taking risks, stating, "If you don't try, you'll never know," and credits a strong support system for her fulfillment.
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Transcript33 segments

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Topics12 themes

What’s Discussed

Anti-FraudCybersecurityProduct ManagementSpyCloudIdentity VerificationAge VerificationUnderground DataData BreachesMoney LaunderingOnline Fraud PreventionCareer DevelopmentPrivacy
Smart Objects14 Β· 11 links
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CompaniesΒ· 2
ConceptsΒ· 8
ProductsΒ· 2