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AI supply chain security, AI lifecycle security

Cisco AI Security: AI Supply Chain Risk Management

Secure your AI supply chain

Scan model files, repositories, and agents to identify malicious components and vulnerabilities.

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Build AI applications and agents with secure components

Third-party assets make AI development more accessible than ever, but they also introduce risk. AI Defense automatically scans these components to identify potential threats, proactively informing developers and helping to ensure that your AI applications are built on trusted foundations.

Screenshot revealing vulnerabilities across files

Scan open-source models

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.
Screenshot displaying enterprise MCP servers identifying threats

Build AI agents you can trust

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.
Screenshot displaying results of model scans and vulnerabilities

Integrate seamlessly with AI development

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.

Establish a secure foundation for AI innovation

Scan files and entire repositories

Whether you want to check a single open-source model or an entire AI repository, AI supply chain scans are easy to initiate and done in minutes.

Verify assets from any source

AI Defense programmatically scans every AI asset as it enters your private repository, regardless of where those assets originate.

Align with AI security standards

Vulnerabilities identified in your AI supply chain are mapped to our AI Security Taxonomy to promote better communication and transparency.

Achieve AI security excellence in your organization

Easily comply with AI security standards, including the OWASP Top 10 for LLM Applications, using AI Defense. Learn more about individual AI risks, including how they map to standards from MITRE, NIST, and OWASP, in our AI security taxonomy.

Explore AI safety and security taxonomy

Additional resources

AI safety and security taxonomy

Understand the generative AI threat landscape with definitions, mitigations, and standards classifications.

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Cisco open-source MCP scanner

Discover our open-source tool designed to proactively identify vulnerabilities in MCP servers.

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Securing agents and the AI supply chain

Explore how Cisco AI Defense secures third-party AI assets and agentic systems.

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Cisco agent-to-agent (A2A) scanner

Learn how this open-source security framework is designed to protect agentic networks.

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The enterprise choice for AI security

Close the AI security gap and unblock your AI transformation with comprehensive protection across your environment.

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