Calendar of Events

  • WiCyS Chicago Affiliate | June: Incident Response – Three Different Lenses

    Google Chicago Office 320 N Morgan Street, Chicago, United States

    Connect with your local cybersecurity community at the WiCyS Chicago Affiliate's June meet-up, taking place in Google's iconic Chicago office. This is a must-attend event to gain insights on Incident Response, as well as to mingle with your peers. Agenda 4 PM - Registration & Networking 4:30 PM - Incident Response: Three Different Lenses 5:30 […]

  • WiCyS Michigan Affiliate | Kick Off

    Virtual

    Dear Michigan WiCyS Members, Hello and welcome to the new Michigan WiCyS Affiliate! We are excited to introduce ourselves and invite you to visit the WiCyS Global Website to add "Michigan Affiliate" to your profile. Our motto is "Together, WE THRIVE," and we want you to take advantage of every opportunity to connect and collaborate […]

  • WiCyS June Book Club

    Join us as we discuss Woman Up!: Your Guide to Success in Engineering and Tech by Anat Rapoport Have you ever felt your career's trajectory was in someone else's hands? In the male-dominated world of engineering, breaking through barriers and claiming your rightful place can seem like an impossible challenge. Yet for Anat Rapoport, this […]

  • WiCyS Minnesota Affiliate | SecretCon Conference

    Lake Monster Brewing 550 Vandalia St., St. Paul, MN, United States

    Join our Minnesota Affiliate at SecretCon! We are thrilled to announce that one of our very own WiCyS members, Jessa Gegax, will be taking the stage at this year’s SecretCon, […]

  • WiCyS Pittsburgh Affiliate | Cyber Security Summit Pittsburgh

    Wyndham Grand Pittsburgh Downtown 600 COMMONWEALTH PLACE, PITTSBURGH, PA, United States

    Join our Pittsburgh Affiliate at Cybersecurity Summit Pittsburgh to connect with WiCyS members. Stop by our booth to meet our affiliate, snag some swag, and learn more about WiCyS. The Second […]

  • Webinar | Adversarial Machine Learning: What is it?

    BrightTALK

    Join Evercita C. Eugenio, Statistician: Sandia National Laboratories as she discusses Machine learning advancements that have grown rapidly in the last few years. However, machine learning is heavily dependent on data, as machine learning models are trained on vast datasets that are then used to provide insight or draw conclusions. This reliance on data means […]