AI security standards alignment
Cisco was early to collaborate with AI security standards bodies and remains an active contributor. AI Defense helps you align to NIST, MITRE ATLAS, and OWASP LLM Top 10 with a single integration.
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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 — without sacrificing speed for safety.
End-to-end AI security. Built for the enterprise.
Whether your organization is using third-party AI applications or developing its own, you cannot afford to sacrifice safety and security for speed. Cisco AI Defense gives you full visibility into AI assets, detects misconfigurations and vulnerabilities, and enforces real-time guardrails — all from the network layer.
Comprehensive AI security to keep your enterprise safe
Companies must contend with complex AI risks in a multi-cloud, multi-model world. Cisco AI Defense addresses the full lifecycle of AI security.
Step 1
Identify AI assets
Discover the AI workloads, applications, models, data, and users across your distributed cloud environments with automated inventory and classification.
Step 2
See the risks
Detect misconfigurations, security vulnerabilities, and adversarial attacks that put AI applications at risk across your entire environment.
Step 3
Mitigate threats in real time
Protect AI applications against rapidly evolving threats, including prompt injections, denial of service, and data leakage with network-embedded guardrails.
AI Model and Application Validation
Identify safety and security vulnerabilities across models at scale. With algorithmic red teaming technology, assess AI risk in mere seconds — giving your security teams the speed they need to keep pace with AI development.
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.
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.
The essential components for comprehensive AI security
Model Validation
Identify safety and security vulnerabilities across models at scale. With algorithmic red teaming technology, assess AI risk in mere seconds.
Runtime Protection
Protect production AI applications with guardrails embedded in the network. Block adversarial attacks and harmful responses in real time.
Cloud Visibility
Automatically inventory the AI models and connected data sources across your distributed environment to understand usage and gauge risk.
AI Access
Monitor and manage access to third-party AI applications. Enforce policies that limit sensitive data exposure and protect against external threats.
Supply Chain Risk
Ensure governance and security over AI models and files with comprehensive supply chain risk management for your AI assets.
Chuck Robbins, Chair and CEO of Cisco
The Cisco platform delivers compounded value for AI security
“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.”
Network-level data insights
Cisco sees the data running throughout your distributed environment, providing full visibility into AI traffic and associated risks.
Security fused in the network
Cisco enforces AI security at the network level without agents or libraries, decoupling AI development from security.
Advanced detections
Guardrails go beyond prompt injection and malicious URL detection to protect against model denial of service, code detection, off-topic attacks, and more.
Superior threat intelligence
Cisco uses the latest threat intelligence from our AI research lab and Talos to inform detections and provide instant platform updates.
Shaping AI security standards and research
AI security research and intelligence
See the latest research and analysis of AI exploits that inform our detections. Cisco’s annual State of AI Security report provides a comprehensive overview of developments across threat intelligence, policy, and research.
Reference architectures
Learn about secure design patterns and practices for teams developing LLM-powered applications. Explore Cisco’s AI safety and security taxonomy covering definitions, mitigations, and standards classifications.
Frequently asked questions
Cisco AI Defense is a comprehensive AI security solution that provides end-to-end protection for enterprises building and using AI. It identifies AI assets, detects risks and vulnerabilities, and mitigates threats in real time with guardrails embedded in the network.
AI Defense deploys guardrails at the network layer to block adversarial attacks including prompt injections, denial of service, and data leakage. These guardrails operate without requiring agents or libraries, decoupling AI development from security enforcement.
Cisco AI Defense helps you align to major AI security standards with a single integration, including NIST AI Risk Management Framework, MITRE ATLAS, and OWASP LLM Top 10.
Yes. AI Defense automatically surfaces third-party AI applications in use across your organization and lets you define policies that manage employee access, protect against threats, and prevent sensitive data loss.
Secure your AI transformation today
Close the AI security gap and unblock your AI transformation with comprehensive protection across your environment.
- End-to-end AI asset discovery and risk assessment
- Real-time guardrails embedded at the network layer
- Alignment with NIST, MITRE ATLAS, and OWASP standards
- Response from a certified Cisco specialist within one business day