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SUMMARY:DC Segmentation w/ Cisco Secure Workload - Oct2026
DESCRIPTION:Workshop Objectives
 Throughout this session\, you will naviga
 te through six key scenarios designed to showcase the full lifecycle of wo
 rkload protection:
 
 UI Navigation &amp\; Visibility: Explore the Secur
 ity Cloud Control portal and understand how software agents provide deep t
 elemetry\, including CPU monitoring\, process snapshots\, and vulnerabilit
 y identification.
 AI-Driven Policy Discovery: Learn how to use unsupervi
 sed machine learning (ADM) to automatically discover application behaviors
  and suggest relevant security policies.
 Policy Analysis: Understand how
  to visualize micro-segmentation and use \"List\" and \"Graph\" views to i
 nterpret complex connection rules.
 Zero-Trust Enforcement: Test policies
  against live traffic to identify \"escaped\" flows and move from visibili
 ty to active enforcement.
 Agentless Cloud Segmentation: Discover how to 
 extend security to public cloud environments like AWS and EKS without dep
 loying agents\, using native cloud controls.
 Advanced Forensics &amp\; S
 ecurity Dashboards: Utilize the Security Dashboard to monitor vulnerabilit
 y scores\, network anomalies\, and MITRE ATT&amp\;CK-aligned forensic even
 ts to identify and stop \"bad actors\" in real-time.
 
LOCATION:Online
DTSTART:20261020T140000Z
DTEND:20261020T200000Z
DTSTAMP:20260819T230045Z
ORGANIZER;CN=Cisco Security Workshops:MAILTO:no-reply@ciscosecurityworkshop
 .com
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