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Cisco AI Defense
Scan model files, repositories, and agents to identify malicious components and vulnerabilities before they enter your environment.
Millions of open-source models are available online. AI Defense scans models in your registry to identify malicious behaviors, model backdoors, and potential vulnerabilities before you build on compromised foundations.
AI agents rely on protocols, tools, and resources that bring complex new risks. AI Defense connects to enterprise MCP servers and repositories to identify threats like tool poisoning, data exfiltration, and arbitrary code execution.
Supply chain scanning supports multiple file formats, enabling developers to scan individual assets or entire repositories in minutes as a critical early step in secure AI development.
Millions of open-source models are available online, offering AI developers a multitude of options. Nevertheless, developers must be wary of malicious behaviors, model backdoors, and other potential vulnerabilities. AI Defense scans models in your registry to identify and flag these risks before you build on a compromised foundation.
Because AI agents are more capable and autonomous systems, they rely on a variety of protocols, tools, and resources. These components bring greater potential but also complex new risks. AI Defense connects to enterprise Model Context Protocol (MCP) servers and repositories to proactively identify threats like tool poisoning, data exfiltration, and arbitrary code execution.
Supply chain scanning is a critical early step in secure AI development. AI Defense supports multiple file formats, enabling developers to scan individual assets or entire repositories in minutes.
Whether a single model or an entire AI repository, supply chain scans are easy to initiate and done in minutes.
Programmatically scans every AI asset as it enters your private repository, regardless of origin.
Vulnerabilities are mapped to AI Security Taxonomy for better communication and transparency.
Industry Standards
Identify safety and security vulnerabilities across every model at scale with algorithmic red teaming and automated guardrail generation.
Protect production AI applications with guardrails deployed directly in the network to block prompt injection, data leakage, and malicious inputs.
Automatically inventory every AI model, workload, and connected data source across your cloud environments for a complete picture of AI risk.
Our Cisco-certified specialists can help you evaluate, license, and deploy AI Supply Chain Risk Management to protect your organization from compromised models, malicious agents, and vulnerable AI components.