AWS Certified Cloud Practitioner

Explanation:

Adversarial prompting is a technique specifically designed to protect against prompt injection attacks. Prompt injection attacks occur when malicious users attempt to manipulate AI systems by injecting harmful instructions or content into prompts to bypass safety measures or extract sensitive information.

Why Adversarial Prompting works:

1. Defensive Design: Adversarial prompting involves designing prompts that are robust against manipulation attempts
2. Input Validation: It includes techniques to validate and sanitize user inputs before processing
3. Context Awareness: Helps maintain the intended context and prevents the AI from being tricked by malicious inputs

Other options explained:

• Zero-shot prompting (B): Involves asking the model to perform tasks without any examples, not specifically designed for security
• Least-to-most prompting (C): Breaks down complex problems into simpler subproblems, primarily for problem-solving
• Chain-of-thought prompting (D): Encourages step-by-step reasoning, useful for complex reasoning tasks but not specifically for security

Adversarial prompting is the correct choice as it's the technique specifically developed to counter prompt injection vulnerabilities in AI systems.