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SUMMARY:AI Defense Workshop - Oct2026
DESCRIPTION:AI Defense Workshop
 AI systems are probabilistic and require 
 different security controls than deterministic software. This course shows
  you how to use the Cisco 3-step framework—Discovery\, Detection\, and P
 rotection—to secure the AI lifecycle. You will practice running algorith
 mic red teaming simulations\, scanning model files for malicious payloads\
 , and configuring runtime guardrails. The workshop also covers securing ag
 entic workflows using the Model Context Protocol (MCP) to prevent goal hij
 acking and context poisoning.
 Learning roadmap
 
 
 
 Section
 Shor
 t description
 
 
 
 
 Foundations of AI Security
 How AI changes th
 e threat model.
 
 
 Getting Started in the Tenant
 First steps inside
  AI Defense.
 
 
 Protecting Models Before Deployment
 Identify model 
 weaknesses before release.
 
 
 Protecting Applications at Runtime
 Ap
 ply guardrails to live prompts and responses.
 
 
 Securing Agentic AI 
 Workflows
 Control agents that use tools and APIs.
 
 
 Apply\, Review
 \, Confirm
 Complete a demonstration and readiness check.
 
 
 
LOCATION:110 S Hartford Ave. Tulsa\, OK 74120
DTSTART:20261006T140000Z
DTEND:20261006T200000Z
DTSTAMP:20260819T221506Z
ORGANIZER;CN=Cisco Workshops:MAILTO:no-reply@ciscosecurityworkshop.com
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