Cisco AI Defense

What it does

Cisco AI Defense is an enterprise security product for organizations that use third-party AI applications or build their own AI systems. It takes in AI traffic, workloads, models, data sources, and user activity across distributed cloud and network environments, and produces an inventory of AI assets, findings on misconfigurations and vulnerabilities, and real-time protective actions such as blocking attacks and harmful responses.

Teams using third-party AI can see which AI applications are in use, set policies on employee access, and guard against sensitive data loss. Teams building AI can run algorithmic red teaming against models, then deploy runtime guardrails for production applications. Enforcement happens at the network level, so applications do not need agents or libraries added to them.

The product is aimed at security and AI platform teams at larger organizations that need coverage across distributed environments and alignment with frameworks such as NIST, MITRE ATLAS, and OWASP LLM Top 10. Access starts with a demo request. Explorer Edition lets AI builders red team their applications before moving to the enterprise product.

What it can do

• Discover AI workloads, applications, models, data, and users across distributed cloud environments
• Algorithmic red teaming to identify safety and security vulnerabilities in models and applications
• Runtime guardrails that block adversarial attacks and harmful responses in production AI applications
• Monitor and manage access to third-party AI applications with data exposure policies
• Inventory AI models and connected data sources to gauge risk
• AI supply chain risk management for models and files

Works with

• Splunk (Splunk customers can use their Splunk data for additional insights)

Example workflows

Securing third-party AI use

Input: AI applications in use across the organization. Steps: discover applications automatically, define access policies, and set rules to prevent sensitive data loss. Output: an inventory of third-party AI use with enforced policies.

Red teaming a model before deployment

Input: an AI model or application under development. Steps: run algorithmic red teaming to identify vulnerabilities, review the findings, then deploy guardrails for production. Output: a vulnerability report and runtime protections for the application.

Before you choose

• Enforcement is network-level and agentless, which suits distributed environments but should be checked against your network architecture.
• Standards alignment with NIST, MITRE ATLAS, and OWASP LLM Top 10 is delivered through a single integration; confirm it covers your specific compliance needs.
• Explorer Edition is a lighter entry point for red teaming and differs in scope from the full enterprise product.

Listed under

• Security
• AI and agent security
• Cloud and data security
• AI governance
• AI guardrails
• AI red teaming
• AI security
• Cloud security
• Compliance

Get started

The page's primary call to action and stated route into the product.

1. Request a demo through the Cisco AI Defense page to start a conversation with Cisco.
2. Inventory AI assets by enabling discovery across your distributed cloud environment.
3. Define policies for third-party AI access and deploy runtime guardrails for production AI applications.

Pricing and plan terms are not published on this page. Explorer Edition terms should be confirmed directly with Cisco.

We couldn’t find published prices for Cisco AI Defense. See their pricing page ↗

Sources for this overview

Product pages, documentation, and pricing checked 29 Oct 2026. Each source supports part of the overview; availability and prices can change.

• Cisco AI Defense and Advanced Threat Prevention - Cisco ↗www.cisco.com

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cisco.com: product, pricing and policy pages

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knowledge_base

Last checked 29 Oct 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.