Prompt engineering is a new tech skill that involves communicating with AI systems using natural human language to make them respond to specific actions or tasks. However, it can also be used for nefarious purposes, such as prompt injections, which refer to using prompts to trick machine-learning models to follow a different set of instructions. Prompt injections can come from any input source, including emails, online forms, and messages, and they can be direct or indirect. For instance, indirect prompt injections involve placing injection-style text in a place where models will access the data. While there are solutions available to address prompt injections, new injection methods are being developed regularly. One mitigation idea is to include two inputs in the model – an intent and the prompt itself – and use a Contradiction Model to answer one simple question: “Does the prompt contradict the intention?” Simon Willison suggests that the best possible protection against prompt injection is making sure developers understand it.
To mitigate these potential threats, it is important to implement additional cybersecurity measures with the help of a trusted partner like INFRA www.infrascan.net or you can try your self using check.website
Source: Medium