• Recognizing and Avoiding Cyber Scams During Major Events & Crises

  • Aug 27 2024
  • Length: 20 mins
  • Podcast

Recognizing and Avoiding Cyber Scams During Major Events & Crises

  • Summary

  • Can you spot a scammer exploiting a natural disaster or a global event?

    On this episode of the Bee Cyber Fit podcast, we're arming you with the knowledge to protect your digital life. We delve into the growing trend of cybercriminals using current events to deceive unsuspecting victims:

    • From the intricacies of pretexting to the frighteningly realistic phishing emails generated by AI, we uncover the latest tactics used by bad actors. Listen as we dissect recent scams, including those that emerged in the wake of hurricanes and the CrowdStrike outage, and offer crucial tips to help you recognize and safeguard against these threats.

    • Excited about the Paris Olympics? So are the scammers. We dissect the myriad ways cybercriminals have preyed on the enthusiasm and emotions of fans to outsmart them out of their money.

    • Learn to identify phishing schemes, fake news, and impersonation tactics designed to exploit your excitement and fears. With a focus on building cyber self-awareness, we'll share actionable advice to help you stay vigilant and secure.

    This episode is your essential guide to navigating the digital landscape with confidence and outsmarting cybercriminals at every turn. Don't miss out on this must-listen episode packed with insights to keep you cyber-safe!

    Calls to Action:

    1. Be the first to know about our upcoming cybersecurity awareness training, Bee Cyber Fit at Yale: The Essentials of Working Securely launches in October. Sign up to receive alerts.

    2. Review our Click with Caution and Protect Your Identity webpages for up-to-date information to be cyber-safe.

    3. Subscribe to the Bee Cyber Fit podcast on Apple Podcasts or Spotify so you never miss an episode.

    Send us a text

    Learn more about Yale Cybersecurity Awareness at cybersecurity.yale.edu/awareness

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