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PRODID://NDCP//510387
BEGIN:VEVENT
DTSTAMP:20260425T020006
VTIMEZONE:America/Chicago
DTSTART:20270331T130000Z
DTEND:20270331T150000Z
UID:510387
SUMMARY:Surgent's Generative AI and Cybersecurity: Opportunities and Threats (CYG2)
LOCATION:Webinar
DESCRIPTION:Surgent's Generative AI and Cybersecurity: Opportunities and Threats (CYG2)\n\n03/31/27 08:00 AM CST\n - 03/31/27 10:00 AM CST\Description:\nThis course explores how generative AI is revolutionizing cybersecurity. It highlights opportunities, such as enhanced threat detection, and risks, including AI-driven phishing and malware, particularly in financial contexts. Objectives:
 Understand how generative AI is used for both defensive and malicious cybersecurity purposes
 Identify potential risks from AI-powered threats and develop mitigation strategies
 Analyze real-world AI-related cybersecurity incidents in the financial sector
 Propose proactive measures to integrate generative AI into cybersecurity defenses
 Evaluate how AI-generated risks impact regulatory compliance in financial systems
 Presenters:Cory NgField of Study:Information Technology (2)Major Topics:
 Generative AI applications in cybersecurity (e.g., threat detection, automation)
 AI-enabled cyber threats, including phishing, deepfakes, and malware
 Real-world incidents involving AI-related cybersecurity challenges
 Proactive strategies for leveraging generative AI in cybersecurity
 Regulatory and ethical implications of generative AI in financial cybersecurity
 \Location:\nWebinar\n\n,
X-ALT-DESC;FMTTYPE=text/html:Surgent's Generative AI and Cybersecurity: Opportunities and Threats (CYG2)<br /><br />03/31/27 08:00 AM CST - 03/31/27 10:00 AM CST<br />Description:<br />This course explores how generative AI is revolutionizing cybersecurity. It highlights opportunities, such as enhanced threat detection, and risks, including AI-driven phishing and malware, particularly in financial contexts. <br><br><b>Objectives:</b><br><ul>
    <li>Understand how generative AI is used for both defensive and malicious cybersecurity purposes</li>
    <li>Identify potential risks from AI-powered threats and develop mitigation strategies</li>
    <li>Analyze real-world AI-related cybersecurity incidents in the financial sector</li>
    <li>Propose proactive measures to integrate generative AI into cybersecurity defenses</li>
    <li>Evaluate how AI-generated risks impact regulatory compliance in financial systems </li>
</ul><br><b>Presenters:</b><br>Cory Ng<br><br><b>Field of Study:</b><br>Information Technology (2)<br><br><b>Major Topics:</b><br><ul>
    <li>Generative AI applications in cybersecurity (e.g., threat detection, automation)</li>
    <li>AI-enabled cyber threats, including phishing, deepfakes, and malware</li>
    <li>Real-world incidents involving AI-related cybersecurity challenges</li>
    <li>Proactive strategies for leveraging generative AI in cybersecurity</li>
    <li>Regulatory and ethical implications of generative AI in financial cybersecurity </li>
</ul><br />Location:<br />Webinar<br /><br />,  
PRIORITY:3
TRANSP:TRANSPARENT
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DESCRIPTION:Reminder
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