DC Segmentation w/ Cisco Secure Workload - Sept2026

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.

CSW Monthly Test Drive.

The 3-hour Cisco Secure Workload hands-on "Test Drive" provides practical experience using Cisco Secure Workload 4.0 to protect applications, minimise attack surfaces, and automate Zero Trust micro-segmentation.

What to Expect

You will work through the workshop as a Senior Security Engineer at PseudoCo, a fictional organization who are looking to deliver Zero Trust Segmentation.

The workshop includes:

• Mastering the interface, managing software agents, and monitoring real-time resource statistics. 
• Leveraging machine learning to automatically map application dependencies and generate Zero Trust policies. 
• Exploring policy structures, analysing service conversations, and visualising your security graph. 
• Testing policies against live traffic to prevent potential impact, then activating full enforcement.
• Extending your security fabric into AWS using native cloud controls without the need for agents.
• Using vulnerability scores and MITRE ATT&CK techniques to detect and respond to behavioural anomalies.
• Learning how to orchestrate security across your ACI fabric for a unified, hybrid-mesh defence.

Who should Attend

• Security engineers and architects
• Technical Decision Makers
• IT Professionals responsible for application security, micro-segmentation and workload protection

What you will learn

• Get a first-hand look at how to stop lateral movement
• Learn how to identify vulnerable software
• Achieve continuous compliance in complex hybrid environments. 

Ready to secure your infrastructure? Join us for this interactive session.

Prerequisites:

Prior to the session, please go to https://id.cisco.com/signin/register for a CCO account. This will be needed to access the workshop and labs.

DC Segmentation w/ Cisco Secure Workload - Oct2026

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.

Cisco Secure Workload Hands on Workshop

Join us for an interactive technical workshop exploring Cisco Secure Workload. Master how to leverage AI driven policy discovery, block real-time exploit attempts, stop lateral movement in data center environmentsand build unified security policies across your hybrid cloud infrastructure.

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.