The document underscores the importance of cybersecurity in artificial intelligence (AI) systems. As AI technology becomes increasingly integrated into everyday life, it is crucial to protect these systems from growing security threats.
The differences between AI and traditional software are highlighted, including specific risks such as data contamination, model obfuscation, and indirect prompt injection.
The scope of the document focuses on defining basic security requirements for AI models and systems, including those incorporating deep neural networks and generative AI. It is clarified that the document is not intended for academics developing AI solely for research.
The principles and requirements are divided into five phases: secure design, secure development, secure deployment, secure maintenance, and secure end-of-life.
**WHO DOES THIS IMPACT? **
The direct impact is on AI Developers, System Operators, Data Custodians, End Users, and Affected Entities.
**CONCLUSION: **
The document has a high impact because it establishes a comprehensive framework for the security of AI systems, covering everything from design to end-of-life.
Regulatory Impact
| Impact Type | Status |
|---|---|
| Top Priority | |
| Type Certificate | |
| Spectrum Bands | |
| Import Changes (HS Codes) | |
| Standard Changes | |
| Product Changes | |
| Label Changes |