Compromising real-world LLM-integrated applications with indirect prompt injection
Language models integrated into applications (LLMs), such as ChatGPT, are at the forefront of technological innovation, especially in finance, trading, and investment. However, they pose emerging risks, both ethical and security-related, that warrant immediate attention:
- Transformative applications in finance:
LLMs have transformed various aspects of financial operations, from AI-based financial predictions to rendering personalized Power BI visualizations.
Case study: Hedge fund profits A hedge fund leveraging ChatGPT for market sentiment analysis successfully navigated a volatile market, realizing a 20% increase in profits.
- Ethical maze:
LLMs come with ethical baggage, from safety concerns to misinformation and regulatory challenges, affecting various platforms including Bing Chat and Microsoft 365 Copilot.
Case study: Regulatory mishap An investment firm failed to comply with local regulations...
