Company AI Risk Explorer
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Welcome to the Company AI Risk Explorer

This tool maps what large global companies say in public about AI risk. We reviewed public documents from roughly 200 of the world's largest companies. We coded every risk they acknowledge against the AI Risk Repository taxonomy.

Filter by company, sector, AI role, or risk. Compare what companies acknowledge against expert ratings of severity, sector vulnerability, and role responsibility.

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Companies × risks

Cisco

Cisco provides AI infrastructure through networking, data centre systems, and validated AI architectures (AI PODs, Secure AI Factory). It deploys third-party AI internally (Azure OpenAI, Claude, Gemini) and develops specialised security-focused LLMs and networking language models trained on Cisco expertise.

We reviewed 7 public documents from Cisco and found it acknowledges 6 of 24 AI risks, including AI security vulnerabilities and discrimination.

Sector: Agriculture, Mining, Construction and Manufacturing; Computer & electronics manufacturing

Roles: AI infrastructure provider; AI deployer; Specialized AI developer

AI risks Cisco acknowledges

  • AI security vulnerabilities: “AI systems must be resilient and contain protections from malicious actors... Protection against security threats includes testing the resilience of AI systems against cyber-attacks; sharing information about vulnerabilities and cyber-attacks” (Cisco Principles for Responsible Artificial Intelligence)
  • Discrimination: “AI creates the potential for harmful human bias or stereotypes to become ingrained in or amplified by technological systems.” (Cisco Principles for Responsible Artificial Intelligence)
  • Loss of privacy: “Applications of AI often use personal data that could impact individual privacy and civil liberties if not managed properly.” (Cisco Principles for Responsible Artificial Intelligence)
  • Weapons & cyberattacks: “the emergence and maturation of AI capabilities has led to new and/or more effective methods of cyber attacks.” (Cisco 10-K 2025 Annual Report)
  • Governance failure: “we may be unsuccessful in identifying or resolving issues and risks before they arise.” (Cisco 10-K 2025 Annual Report)
  • Transparency & interpretability: “Often, it is not clear to users when and how AI is used or involved in decision- making.” (Cisco Principles for Responsible Artificial Intelligence)

Documents we reviewed