Company AI Risk Explorer
Loading the data…
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.

← Back to the overview Company AI Risk Explorer

Companies × risks

Mastercard

Mastercard deploys AI across its global payments network to secure transactions, detect fraud, and automate operations, integrating third-party AI platforms (Azure OpenAI, Databricks) alongside proprietary domain-specific models for risk decisioning and cybersecurity. It also develops specialised ML and generative AI tools for internal use and as productised security solutions for banks and merchants.

We reviewed 13 public documents from Mastercard and found it acknowledges 10 of 24 AI risks, including fraud & scams and loss of privacy.

Sector: Finance and Insurance

Roles: AI deployer

AI risks Mastercard acknowledges

  • Fraud & scams: “In unauthorized payment fraud, fraudsters take control of a user's account to make payments using their funds. Generative AI can help fraudsters gain access to accounts... and can help them move funds using compromised accounts automatically with limited need for human intervention.” (Mastercard Generative AI Cybersecurity Report)
  • Loss of privacy: “may inadvertently disclose confidential information and/or breach intellectual property, privacy or other rights” (Mastercard 2024 Annual report (10-K))
  • Weapons & cyberattacks: “Using AI, for example, a single scammer could deploy an army of bots to test defenses and search for weak points... and build malware that can adapt to a company's security systems.” (Securing Tomorrow: Preparing for an always-on, AI-powered future)
  • Discrimination: “AI algorithms may generate... unfair, biased or discriminatory outcomes” (Mastercard 2024 Annual report (10-K))
  • Devaluation of human creativity: “may inadvertently... breach intellectual property... rights” (Mastercard - 10K 2025)
  • Transparency & interpretability: “Inscrutable models do not allow you to "walk back" the logic they used to make a decision, which can become a major issue where critical decisions result in mistakes, regulatory non-compliance, or financial loss.” (Mastercard Generative AI Cybersecurity Report)
  • AI security vulnerabilities: “These kinds of errors can be the result of either flawed logic or "data poisoning": bad actors' deliberate exposure of misleading data to the model.” (Mastercard Generative AI Cybersecurity Report)
  • False information: “Those risks include... "hallucinations" - the repetition of falsehoods by AI.” (Mastercard - Responsible AI: Shaping artificial intelligence governance)
  • Governance failure: “Our implementation of robust AI governance and risk management frameworks... may not be sufficient protection against these emerging risks.” (Mastercard 2024 Annual report (10-K))
  • Disinformation & influence: “Other nefarious groups could employ AI agents to plant misinformation, influence populations and disrupt national elections or emergency responses.” (Securing Tomorrow: Preparing for an always-on, AI-powered future)

Documents we reviewed