Workshop Objectives

Throughout this session, you will navigate through six key scenarios designed to showcase the full lifecycle of workload protection:

  1. UI Navigation & Visibility: Explore the Security Cloud Control portal and understand how software agents provide deep telemetry, including CPU monitoring, process snapshots, and vulnerability identification.
  2. AI-Driven Policy Discovery: Learn how to use unsupervised machine learning (ADM) to automatically discover application behaviors and suggest relevant security policies.
  3. Policy Analysis: Understand how to visualize micro-segmentation and use "List" and "Graph" views to interpret complex connection rules.
  4. Zero-Trust Enforcement: Test policies against live traffic to identify "escaped" flows and move from visibility to active enforcement.
  5. Agentless Cloud Segmentation: Discover how to extend security to public cloud environments like AWS and EKS without deploying agents, using native cloud controls.
  6. Advanced Forensics & Security Dashboards: Utilize the Security Dashboard to monitor vulnerability scores, network anomalies, and MITRE ATT&CK-aligned forensic events to identify and stop "bad actors" in real-time.

DC Segmentation w/ Cisco Secure Workload - Oct2026

Event Information
Event Date 2026-10-20
Event Location Timezone America/Chicago
Event Start Time 9:00 AM
Event End Time 3:00 PM
Capacity 15
Registered 0
Available Place 15
Created By Aaron McDaniel
Location Virtual Lab