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Cisco AI Defense

Comprehensive Security for the AI Era

Get end-to-end protection for enterprises building, using, and innovating with AI — across every model, application, and cloud environment.

Security That Keeps Pace with AI Adoption

Companies must contend with complex AI risks in a multi-cloud, multi-model world. Whether your organization is using third-party AI applications or developing its own, you cannot afford to sacrifice safety and security for speed. With Cisco AI Defense, you won’t have to.

Protection Across Every AI Use Case

AI Defense addresses the two primary ways enterprises engage with AI — using third-party tools and building their own — with purpose-built controls for each.

Using AI

Automatically surface third-party AI applications in use across your organization. Define policies that manage employee access, protect against threats, and prevent sensitive data loss before it leaves your environment.

Developing AI

Detect AI assets across your environment. Algorithmically assess models to identify vulnerabilities, then deploy guardrails to protect AI apps — and your customers — in real time without slowing down development.

Comprehensive AI Security to Keep Your Enterprise Safe

AI Defense provides three foundational security functions that work together to give you continuous visibility and real-time protection across your AI environment.

Identify AI Assets

Discover the AI workloads, applications, models, data, and users across your distributed cloud environments. Know what is running, where it lives, and who has access.

See the Risks

Detect misconfigurations, security vulnerabilities, and adversarial attacks that put AI applications at risk. Continuous assessment keeps your risk posture current as models and data change.

Mitigate Threats in Real Time

Protect AI applications against rapidly evolving threats, including prompt injections, denial of service, and data leakage — enforced at the network layer without agents or libraries.

AI Model and Application Validation

Find Vulnerabilities Before Attackers Do

Identify safety and security vulnerabilities across models at scale. With algorithmic red teaming technology, assess AI risk in mere seconds — not weeks — so your security team can act before issues reach production.

  • Automated vulnerability assessment across AI models at scale
  • Algorithmic red teaming delivers results in seconds
  • Prioritized findings so teams address the highest-risk issues first
Explore AI Model Validation
Cisco AI Defense model validation dashboard

AI Runtime Protection

Block Adversarial Attacks at the Network Layer

Protect production AI applications with guardrails embedded in the network. Block adversarial attacks and harmful responses in real time — without requiring changes to your AI application code or development pipeline.

  • Guardrails enforced at the network level — no agents or libraries needed
  • Blocks prompt injection, model DoS, code injection, and off-topic attacks
  • Decouples AI development from security enforcement
Explore AI Runtime Protection
Cisco AI Defense runtime protection dashboard

AI Cloud Visibility

Inventory Every AI Model Across Your Cloud Environments

Automatically inventory the AI models and connected data sources across your distributed environment to understand usage and gauge risk. You cannot secure what you cannot see — AI Cloud Visibility closes that gap.

  • Automated discovery of AI models and data connections
  • Unified view across multi-cloud and hybrid environments
  • Continuous monitoring for new or changed AI assets
Explore AI Cloud Visibility
Cisco AI Defense cloud visibility dashboard

Control Access and Manage Supply Chain Risk

Two additional components extend AI Defense coverage to third-party application access and the security of AI models and files entering your environment.

Cisco AI Defense access management dashboard

AI Access

Monitor and manage access to third-party AI applications. Enforce policies that limit sensitive data exposure and protect against external threats as employees adopt generative AI tools across the enterprise.

AI Supply Chain Risk Management

AI Supply Chain Risk Management

Ensure governance and security over AI models and files entering your environment. Identify risks embedded in third-party AI components before they are integrated into production applications.

Why the Cisco Platform Delivers Superior AI Security

Network-layer visibility, security fused into the infrastructure, advanced detections, and live threat intelligence from Talos — Cisco delivers compounded value across every layer of your AI security strategy.

Network-Level Data Insights

Cisco sees the data running throughout your distributed environment, which provides full visibility into the AI traffic and associated risks — across every cloud, workload, and user connection.

Security Fused in the Network Fabric

Cisco enforces AI security at the network level without the need for agents or libraries, decoupling AI development from security and removing friction from your development pipeline.

Advanced Detections

AI Defense guardrails go beyond prompt injection and malicious URL detection to protect against the latest threats, including model denial of service, code detection, and off-topic attacks.

Superior Threat Intelligence

Cisco uses the latest threat intelligence from its AI research lab and Talos to inform detections and provide instant platform updates against emerging attacks. Splunk customers gain additional insight from their existing data.

The Enterprise Choice for AI Security

Built on the Network. Backed by Talos.

“Our network-layer visibility across the enterprise, coupled with mature guardrails and live threat intelligence updates, makes Cisco AI Defense the enterprise choice to secure the usage and development of AI.”

Chuck Robbins, Chair and CEO, Cisco

“Purpose-built to secure AI”

Kent Noyes, Global Head of AI and Cyber Innovation, World Wide Technology
Cisco AI Defense data flow across distributed environments
Cisco AI Defense alignment with NIST, MITRE ATLAS, and OWASP LLM Top 10

Industry Standards

Aligned to NIST, MITRE ATLAS, and OWASP LLM Top 10

Cisco was early to collaborate with AI security standards bodies and remains an active contributor. AI Defense helps you align with a single integration, reducing the compliance burden as AI regulations continue to evolve.

  • NIST AI Risk Management Framework
  • MITRE ATLAS adversarial threat landscape
  • OWASP LLM Top 10 vulnerabilities
  • Single integration covers all three frameworks

Related Solutions

Extend your AI security posture with the broader Cisco Security portfolio.

AI Model Validation

Assess AI models for safety and security vulnerabilities at scale using algorithmic red teaming before they reach production.

AI Runtime Protection

Deploy network-embedded guardrails that block adversarial attacks, prompt injection, and data leakage in production AI applications.

AI Cloud Visibility

Automatically inventory AI models and data sources across multi-cloud environments to understand usage and manage risk.

Cisco Secure Access

Cloud-delivered SSE platform with AI Access controls that manage and secure employee use of generative AI applications.

Close the AI Security Gap in Your Enterprise

Our Cisco-certified team can help you evaluate, license, and deploy AI Defense across your organization. Whether you are securing employee AI use, protecting models in development, or managing AI supply chain risk — we will help you get started.

  • Assessment of your current AI risk posture
  • Guidance on AI Defense components right-sized for your environment
  • Integration planning with existing Cisco Security investments
  • Response from a certified Cisco specialist within one business day