Exploring six challenges mainframe professionals may experience as AI continues to gain prominence at their organizations.
1. Adversarial Attacks on an AI Model
2. Training Data Attacks Through Data Poisoning
3. AI Model Output Attacks Through Model Inversion
4. AI Model Theft
5. Privacy and Confidentiality Concerns
6. Regulatory and Ethical Considerations