Prompt logging compliance refers to following rules and regulations about recording and storing user prompts and responses in AI systems. It ensures that sensitive information is handled properly and that data logging meets privacy laws and industry standards. This process helps organisations stay accountable and transparent about how user data is managed.
Category: Regulatory Compliance
Prompt Leak Detection
Prompt leak detection refers to methods used to identify when sensitive instructions, secrets, or system prompts are accidentally revealed to users by AI systems. This can happen when an AI model shares information that should remain hidden, such as internal guidelines or confidential data. Detecting these leaks is important to maintain privacy, security, and the…
Confidential Prompt Engineering
Confidential prompt engineering involves creating and managing prompts for AI systems in a way that protects sensitive or private information. This process ensures that confidential data, such as personal details or proprietary business information, is not exposed or mishandled during interactions with AI models. It includes techniques like redacting sensitive content, using secure data handling…
Retrieval-Augmented Prompting
Retrieval-Augmented Prompting is a method for improving how AI models answer questions or complete tasks by supplying them with relevant information from external sources. Instead of only relying on what the AI already knows, this approach retrieves up-to-date or specific data and includes it in the prompt. This helps the AI provide more accurate and…
Multi-Step Prompt Chaining
Multi-Step Prompt Chaining is a method used with AI language models where several prompts are linked together in a sequence. Each step uses the output from the previous step as input for the next, creating a chain of tasks that build on each other. This approach helps tackle complex problems by breaking them down into…
Few-Shot Chain-of-Thought Design
Few-Shot Chain-of-Thought Design is a method used in artificial intelligence where a model is given a small number of examples that show step-by-step reasoning to solve a problem. This helps the model learn how to break down complex questions into simpler parts and answer them logically. By seeing just a few clear examples, the AI…
Function-Calling Schemas
Function-calling schemas are structured ways for software applications to define how different functions can be called, what information they need, and what results they return. These schemas act as blueprints, organising the communication between different parts of a program or between different systems. They make it easier for developers to ensure consistency, reduce errors, and…
Prompt Dependency Injection
Prompt Dependency Injection is a technique used in AI and software development where specific information or context is added into a prompt before it is given to an AI model. This method helps guide the AI to produce more accurate or relevant outputs by supplying it with the necessary background or data. It is often…
Role-Based Prompt Templates
Role-Based Prompt Templates are pre-written instructions or scripts designed for AI systems that specify a particular role or perspective for the AI to adopt when responding. These templates help guide the AI to provide answers or complete tasks as if it were, for example, a teacher, doctor, or customer service agent. By using these templates,…
Response Chain Termination
Response chain termination refers to intentionally stopping a sequence of actions or processes that are triggered in response to an event or input. This is often done to prevent unnecessary steps, avoid errors, or limit the impact of a chain reaction. By terminating a response chain, systems can maintain control and ensure that only the…