TechNet Cyber Supporting Partner Opportunities (Advertisements and Supporting Partner recognition does not imply federal endorsement.)

Stand Out in the Crowd! If branding, lead generation and market visibility are important to your organization, the supporting partner opportunities available at TechNet Cyber 2021 are exactly what you need. This event attracts over 4,000 cyber security professionals, who want to see the leading industry solutions, and take part in networking and business building opportunities.

Have an idea for a supporting partner opportunity you don't see listed below? Let us know! We are happy to discuss possibilities with you. Contact us today!

Branding Opportunities Deadline: October 1st
Patron Package and Individual Opportunities Deadline: October 15th

Engagement Theater 3: AFCEA Women in Cyber Leadership Panel - Women Cyber Leaders Discuss Artificial Intelligence and Other Challenges

  • Room: Halls F and Swing
Thursday, October 28, 2021: 2:00 PM - 3:00 PM


Moderator (confirmed)
Janice Haith, SES
Strategic Client Director - Navy/Marine Corps
Speaker (confirmed)
Domenica Crognale
Cybersecurity Engineer and Certified Instructor
Speaker (confirmed)
Danielle Metz
Chief Information Technology (IT) Strategist
Office of the Secretary of Defense (OSD)
Speaker (confirmed)
Terry Roberts


Approved for 1 CompTIA CEU for: A+, Network+, Security+, Linux+, Cloud+, PenTest+, CySA+, CASP+, 1 GIAC CPE, and 1 CertNexus CEC for CyberSec First Responder (CFR) and Certified Internet of Things Practitioner (CIoTP)

AI/ML is becoming the norm for - and the new battleground between - bad actors and the good guys.  Opportunities in both warfare and business are on the table. On this panel, cybersecurity leaders will discuss how government and industry are quickly adopting artificial intelligence and machine learning.

Topics will include:

  • Identifying key opportunities, threats, and challenges with AI/MI
  • Implementing AI/MI while maintaining good cyber hygiene to defend against rapidly evolving threats
  • Integrating AI/ML into existing infrastructure
    • Changing systems
    • Changing culture
    • Changing concepts of operations and business practices
  • Developing the workforce to make the best use of what AI/ML will add.