It also points out that as AI technology advances, so do the methods of exploitation by sophisticated attackers. The Open Worldwide Application Security Project (OWASP) has identified key risks associated with AI, such as prompt injection and data poisoning, and offers guidelines for securing AI applications. The article concludes by stressing the importance of building trust in AI through improved security measures, drawing parallels to the increased trust in digital commerce over time. Organizations are encouraged to prioritize AI security to ensure it becomes a beneficial tool rather than a liability.
Key takeaways:
- AI is increasingly integrated into everyday life, offering benefits but also introducing new cybersecurity risks.
- Key risks of AI in business include data exposure and manipulation of large language models, which can lead to harmful outcomes.
- Organizations are responsible for the actions of their AI, as demonstrated by legal cases involving AI errors.
- Trust in AI will grow with improved security measures, similar to the evolution of digital commerce security.