Prompt injections, a type of attack on language models, have become a significant security concern as businesses increasingly integrate large language models (LLMs) into their applications. These attacks can be classified into direct and indirect prompt injections, with the former allowing attackers to manipulate the input to an LLM directly. A specific form of direct prompt injection known as "jailbreaking" enables attackers to bypass model restrictions, potentially leading to unauthorized actions such as exfiltrating sensitive information or executing arbitrary commands. The article emphasizes the importance of developing defenses against prompt injections, highlighting strategies like privilege control, input and output sanitization, and human oversight. As organizations like OWASP work on standards for LLM vulnerabilities, companies are urged to swiftly implement protective measures to safeguard their systems.