Prompt injection attacks manipulate AI model inputs, causing them to behave unexpectedly. This security risk is critical as AI becomes more integrated into various applications and systems.
Attacks like command injection and context manipulation exploit AI models by altering prompts. This can lead to unauthorized actions, data breaches, and compromised system integrity.
In command injection, attackers insert harmful commands into prompts, tricking AI into executing tasks that could damage systems or leak sensitive information.
Protect AI models by implementing input sanitization, monitoring user interactions, and using output filtering. These measures reduce the risk of prompt injection attacks.
Regularly update AI defenses, train models to recognize malicious inputs, and stay informed about emerging threats to maintain security against prompt injection attacks.