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

Fortinet

Fortinet develops specialised cybersecurity-focused ML systems (FortiGuard AI, IPS ML models) that it continuously trains at scale as a core part of its security offerings. It also deploys third-party LLMs (OpenAI, Google Bard) through its FortiAI assistant features.

We reviewed 2 public documents from Fortinet and found it acknowledges 7 of 24 AI risks, including discrimination and loss of privacy.

Sector: Information

Roles: Specialized AI developer; AI deployer

AI risks Fortinet acknowledges

  • Discrimination: “The use of AI also brings ethical issues related to privacy, surveillance and consent of use, as well as potential for bias and discrimination.” (Fortinet 2024 Annual Report)
  • Loss of privacy: “If customer data is used to train AI based systems and such data is not adequately anonymized, this may lead to breach of sensitive information and loss of customer trust.” (Fortinet 2024 Annual Report)
  • Devaluation of human creativity: “The intellectual property risks associated with AI include uncertainties around the ownership of AI-generated works, potential infringement of existing patents and copyrights, unauthorized use of third-party data, and exposure of proprietary algorithms or trade secrets.” (Fortinet 2024 Annual Report)
  • False information: “content that appears correct but is factually inaccurate (hallucinations) or flawed, ... and if our customers or others use this flawed content to their detriment” (Fortinet 2024 Annual Report)
  • Weapons & cyberattacks: “AI can be exploited by hackers and malicious actors to develop advanced cyberattacks, bypass security measures, and exploit system vulnerabilities.” (Fortinet 2024 Annual Report)
  • Fraud & scams: “Emerging technologies, such as AI, compound these risks by expanding the attack surface. AI-driven phishing campaigns, for example, are increasingly difficult to detect” (2024 SUSTAINABILITY REPORT | Fortinet)
  • Inequality & unemployment: “Other risks that have been observed in AI models and documented, include risks related to... job displacements...” (Fortinet 2024 Annual Report)

Documents we reviewed