Prompt Injection: The New Frontier of AppSec
As applications wire LLMs into their core, a new class of vulnerabilities is emerging. Here is what analysts need to know.
By InfoSecLabs Team
Prompt injection is the SQL injection of the AI era. Instead of breaking out of a query, an attacker breaks out of the intended instructions and coerces a model into doing something it should not.
The danger multiplies when models can call tools, read documents, or browse — a technique called indirect prompt injection hides malicious instructions inside content the model later ingests.
Defenders should treat model output as untrusted, constrain tool permissions, and log prompts and responses for investigation, exactly as you would any other application layer.
Our AI Security path and CTF track let you exploit and then defend against prompt injection, RAG exploitation, and jailbreaking in a safe lab.