Purpose: This topic examines the critical need for security and fraud prevention in the context of artificial intelligence (AI) agents within global healthcare. As AI agents become increasingly integrated into higher education and healthcare systems, ensuring their security and trustworthiness is paramount to mitigate the risks of healthcare fraud, improve the quality of care, and enhance patient outcomes.

Methods: The discussion introduces a framework focused on AI security, featuring the innovative concepts of an "AI Agent DNA Fingerprint" and "AI Agent Certification." These elements are a vital tools for verifying the authenticity and adherence of AI agents to high security standards. The framework is evaluated through an exploration of existing AI applications in healthcare and the vulnerabilities that may lead to fraudulent activities.

Results: The insights reveal that implementing strong safeguards within AI technology can yield significant advantages. By certifying AI agents, the suggested framework not only prevents misuse but also amplifies the overall effectiveness of AI in the healthcare sector. The analysis shows that a secure AI ecosystem can greatly promote innovation, enhance patient outcomes, and build trust among various stakeholders.

Conclusion: Adopting the concepts of AI Agent DNA and certification is crucial for the advancement of AI in healthcare. Establishing a trustworthy infrastructure will unlock new opportunities for innovation while protecting the integrity of AI's role in society. This topic encourages the implementation of these frameworks to foster a reliable and secure AI environment, ultimately leading to meaningful improvements in global healthcare systems