Mastering Cybersecurity with VMware vDefend and Avi via Hands-on Labs

Source: VMware Security Blog

Author: Tuan Nguyen and Apoorv Malmane

URL: https://blogs.vmware.com/security/2026/10/mastering-cybersecurity-with-vmware-vdefend-and-avi-via-hands-on-labs.html

https://blogs.vmware.com/security/2026/10/mastering-cybersecurity-with-vmware-vdefend-and-avi-via-hands-on-labs.html

ONE SENTENCE SUMMARY:

VMware’s updated vDefend and Avi Hands-on Labs teach practical Zero Trust, threat prevention, virtual patching, and load-balancing security for VCF.

MAIN POINTS:

  1. Cybersecurity Awareness Month highlights rising AI-driven threats against private cloud environments.
  2. VMware released updated vDefend and Avi Cybersecurity Hands-on Labs for VCF defense.
  3. Labs bridge theory to practice for security engineers, SOC analysts, and platform administrators.
  4. Micro-segmentation enables workload-level Zero Trust and visibility into lateral traffic flows.
  5. Advanced Threat Prevention combines IDS/IPS, NTA, and behavioral analytics to detect attacks.
  6. Modern software-defined load balancing improves performance, availability, and traffic management.
  7. HOL-2770-01 teaches DFW 1-2-3-4, ATP 1-2-3, plus AI Assistant troubleshooting.
  8. HOL-2770-02 focuses on virtual patching and correlated detections to shorten response times.
  9. HOL-2770-03 hardens VCF infrastructure using predefined vDefend security policies and best practices.
  10. Avi labs cover integration, WAF security, GSLB resiliency, and migration using conversion tooling.

TAKEAWAYS:

  1. Hands-on lab progression provides a measurable path toward implementing Zero Trust in VCF.
  2. Layered defenses improve outcomes by combining firewalling, IDPS, NTA, and NDR.
  3. Virtual patching reduces exposure windows by shielding vulnerable workloads before OS patching.
  4. Container environments benefit from integrated Avi plus vDefend for east-west and egress controls.
  5. Explore 2026 session recordings reinforce lab workflows like DFW automation and AI-driven ATP.