CIsco AI Defense Enablement

This page provides a concise sales talk track and motion for internal sellers, enabling consistent pitching with a clear narrative, faster qualification through ICP targeting and discovery questions, effective handling of common AI-related objections, and driving next steps via a concrete call to action and a "better together" message to convert interest into pipeline.

Solution Deck
Overview Video

What It Is

Cisco AI Defense is a purpose-built security platform that protects AI across the entire lifecycle—from discovery and testing to runtime protection—so customers can adopt AI faster and more safely.

Why Customers Care

AI adoption is outpacing governance. Shadow AI tools are already in use, and traditional security platforms are not designed to handle AI-specific threats. AI risk directly translates to business, regulatory, and brand risk.

AI Defense isn't about slowing AI down—it's how customers move faster without creating risk.

WWT/Cisco Better Together Advantage

WWT accelerates adoption through AI Defense Labs & Learning Paths, Cyber Range and CTF demos, and alignment with the ARMOR framework—turning curiosity into measurable pipeline.

Who to Target First (ICP)

  • Organizations building or deploying AI models
  • Enterprises using AI tools across business units
  • Regulated industries (finance, healthcare, critical infrastructure)
  • Customers discussing AI Pods, Secure Access, Firewall modernization, or Splunk

How to Sell It – AI Security Lifecycle

  1. Discover – Identify shadow AI apps, models, and data
  2. Detect – Test for vulnerabilities, poisoning, and adversarial attacks
  3. Protect – Apply guardrails, access controls, and runtime defense
  4. Operationalize – Embed security into ML workflows (MLSecOps)

Why Cisco AI Defense Wins

  • Built specifically for AI security
  • Automated AI red-teaming in minutes
  • AI supply chain protection
  • Runtime defense for AI applications
  • Visibility across users and enterprise AI

Discovery Questions

  • Where are you using AI today—officially or unofficially?
  • Who owns AI risk in your organization?
  • How are AI models tested before production?
  • What happens if an AI model behaves unexpectedly?

Common Objections

  • We already have security tools → Those tools were not designed for AI threats
  • We're just experimenting → Experiments are where AI risk begins
  • Governance isn't defined yet → AI Defense enables safe adoption now

Labs & Learning Paths

Cisco AI Defense: From Risk to Protection

AI systems are rapidly transforming how organizations operate, but they also introduce new and evolving security risks. This learning path focuses on how Cisco AI Defense enables organizations to secure AI systems across their entire lifecycle. You will develop an understanding of common AI vulnerabilities and how they impact modern environments, while exploring how Cisco AI Defense provides visibility into AI assets, validates models against adversarial risks, and enforces real-time protections through runtime guardrails. By the end, you will have a clear understanding of how Cisco AI Defense delivers visibility, validation, and runtime protection to help secure AI at scale.
Learning Path

Cisco AI Defense Capture the Flag (CTF)

Experience Cisco AI Defense in an interactive Capture the Flag (CTF), designed to showcase how Cisco is securing the future of GenAI.
Advanced Configuration Lab
•1269 launches

Stay in the know with the latest Cisco Security content

ARMOR In Action with Cisco: Ensuring Comprehensive Security Coverage for Your Production-Ready AI Factory

Learn how Cisco Secure AI Factory with NVIDIA maps across all six of the ARMOR domains, giving organizations a clear, scalable path to govern, protect and operate AI systems securely.
WWT Research
•Mar 13, 2026

Why Production AI Exposes Security Gaps Organizations Can't Ignore

As enterprises move AI from experimentation to production, security failures are no longer isolated incidents—they are systemic risks embedded deep in infrastructure, data flows, and decision-making systems. In this episode of the AI Proving Ground Podcast, WWT's Istvan Berko, Cisco's DJ Sampath and NVIDIA's Ofir Arkin discuss why as AI becomes core infrastructure, security becomes the mechanism that determines whether that infrastructure scales or undermines itself.
Video
•48:20
Feb 11, 2026

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Cisco AI Security

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