Safeguard Your AI Models from Prompt Injection Attacks

Prompt injection attacks are an emerging threat in AI-driven applications, allowing malicious actors to manipulate models by embedding harmful instructions. This paper provides engineers with insights into understanding and mitigating these risks to protect enterprise data.

• Discover the types of prompt injection attacks, including direct, indirect, and jailbreak techniques.
• Explore real-world examples of attacks and their potential impact on enterprise systems.
• Learn defensive strategies, such as enforcing privilege controls, using human-in-the-loop verification, and implementing audit logs for secure AI deployments.