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1.3Threat Actors and Motivations
Understanding who attacks AI systems and why helps you prioritize your testing:
| Threat Actor | Motivation | Typical Attacks | Sophistication |
|---|---|---|---|
| Curious users | Experimentation, fun | Simple jailbreaks, prompt extraction | Low |
| Competitors | Intellectual property theft | Model extraction, training data recovery | Medium |
| Fraud operators | Financial gain | Social engineering the AI, refund abuse | Medium |
| Data thieves | PII harvesting | Data leakage probing, cross-session attacks | Medium-High |
| Hacktivists | Embarrassment, ideology | Making the AI say offensive things | Medium |
| Nation-state actors | Espionage, disruption | Supply chain poisoning, advanced injection | High |
| Automated bots | Scale attacks | Mass prompt injection, credential stuffing | Varies |
Your security testing program should cover the threat actors most relevant to your application. A customer-facing chatbot faces different threats than an internal code review tool.