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AI Defense User Guide

AI Defense Overview
- Key Capabilities
AI Defense Onboarding
- Activate AI Defense
Administration
- Users
- API Keys
- Licenses
- Integrations
  - AI Defense-Multicloud Defense Integration
  - AI Defense Secure Access Integration
  - LLM API Provider Integrations
    - Integrate with AWS Bedrock
  - AI Defense Splunk Integration
Applications
- Manage AI Applications
Policies
- Rules and Guardrails
Assets
- Discover and Manage Assets
Validation
- Configure Validation
- Validate AI Models and Applications
- View Validation Results
Runtime
- Set up Runtime Protection
  - Set up Runtime for Gateway Interception
  - Set up Runtime for Protection via Multicloud Defense
  - Set up Runtime for the Inspection API
- Policies for Runtime Protection
- Monitor AI Threats and Events
Application Discovery
- Track AI Application Use
FAQs
- AI Defense FAQ

Software AI Defense

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AI Defense Overview

Last updated: Jul 23, 2025

AI Defense Overview

AI Defense addresses the risks introduced by the development, deployment, and usage of AI. It combines new AI-specific detection and defense measures with the existing network visibility and enforcement points in the Cisco Security Cloud.

AI Defense addresses three key areas in AI security:

Discovery of all AI workloads, applications, models, data and user access across distributed cloud environments
Detection of security vulnerabilities in your AI models and AI applications in order to reduce risks to your users and organization
Inbound and outbound runtime protection of AI applications and their users to guard against rapidly evolving threats, including prompt injections, denial of service attacks, and data leakage

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