How to prevent prompt injection

Prompt injection is a significant security threat to AI applications, allowing attackers to manipulate inputs in ways that override a model’s original instructions, potentially leading to data leaks and reputational damage. This issue is recognized as the top security risk in the OWASP Top 10 for LLM applications. To detect and mitigate prompt injection, it is essential to employ both heuristic and model-based detection systems, as well as adhere to best practices such as constraining model behavior, implementing input and output filtering, and conducting regular adversarial testing. The OWASP Top 10 recommendations for mitigating prompt injection involve specifying model roles, validating output formats, enforcing privilege control, and requiring human oversight for high-risk actions. Additionally, documenting attacks using an AI threat model ontology helps teams understand and adapt to evolving threats, treating prompt injection with the same seriousness as other software vulnerabilities.