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AI Threat Management Workshop

Faculty Development Academy

  • Date: -  
  • Location: Virtual

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Faculty Development Academy:

AI Threat Management

Virtual
June 21, 2024 and June 28, 2024 (2 Fridays) - Cancelled

Rescheduled to: 
June 28-29, 2024 (Friday and Saturday)

8AM - 2PM Pacific / 9AM - 3PM Mountain / 10AM - 4PM Central / 11AM - 5PM Eastern

 REGISTER TO ATTEND

 


 

Who Should Attend:

This workshop is funded and tailored specifically for community and technical college faculty members wishing to expand their knowledge, earn an industry certification, and strengthen their ability to incorporate new cybersecurity content in their community college curriculum. This workshop is not intended for students or other non-faculty participants.

About the Workshop: 

As seasoned cybersecurity community college educators, mastering the art of AI threat management is essential. This workshop is designed to equip professionals with the knowledge and skills necessary to leverage data science and AI effectively in combating cyber threats. Participants will delve into the transformative potential of AI applications, learning how to harness human intelligence alongside AI technologies to bolster organizational defenses and improve information systems management.

Through a blend of engaging lectures, team activities, lab exercises, and practical examples, attendees will gain invaluable insights into AI methodologies tailored for threat detection, vulnerability assessment, penetration testing, threat hunting, and intelligence gathering. The workshop goes beyond technical aspects, covering essential topics such as AI ethics, governance, risk management, and compliance. Participants will explore the intricacies of building secure AI environments and utilizing AI to assist organizations in performing Privacy Impact Assessments. By the end of the workshop, professionals will emerge equipped with a comprehensive understanding of AI's role in threat management.

 


 

Facilitators:

  • Sam Bowne, City College San Francisco

 


 

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This event is funded by a National Science Foundation grant #2054724

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