📌 Prompt Sanitisation Summary
Prompt sanitisation is the process of checking and cleaning user input before it is sent to an AI system or language model. This step helps to remove harmful, inappropriate or malicious content, such as offensive language, private information or code that could be used for attacks. It ensures that prompts are safe, appropriate and do not contain elements that could cause the AI to behave unpredictably or dangerously.
🙋🏻♂️ Explain Prompt Sanitisation Simply
Think of prompt sanitisation like a security guard checking bags before people enter a concert. It is there to make sure nothing dangerous or inappropriate gets through. By double-checking what users type before the AI sees it, we help keep both the AI and its users safe.
📅 How Can it be used?
Prompt sanitisation can be used to automatically filter and clean user queries before they reach a public chatbot.
🗺️ Real World Examples
A customer support chatbot for a bank uses prompt sanitisation to remove sensitive details, such as account numbers or passwords, from user messages before processing them. This protects customer privacy and reduces the risk of data leaks.
An online educational platform sanitises prompts submitted to its AI tutor, blocking inappropriate language and personal information, to ensure a safe environment for students.
✅ FAQ
Why is prompt sanitisation important when using AI systems?
Prompt sanitisation matters because it helps keep AI interactions safe and respectful. By cleaning up prompts before they reach the AI, we reduce the risk of harmful or offensive outputs and protect sensitive information from being shared accidentally. This makes AI tools more trustworthy and pleasant to use.
What kinds of things are removed during prompt sanitisation?
During prompt sanitisation, things like swear words, personal details, and code that could be used for attacks are filtered out. The goal is to remove anything that could cause trouble, whether it is upsetting language or information that should stay private.
Can prompt sanitisation affect how an AI responds to questions?
Yes, prompt sanitisation can influence how an AI answers because it changes or removes certain parts of a usernulls input. While this helps keep conversations safe, it might sometimes mean the AI cannot respond to requests that include blocked content.
📚 Categories
🔗 External Reference Links
Ready to Transform, and Optimise?
At EfficiencyAI, we don’t just understand technology — we understand how it impacts real business operations. Our consultants have delivered global transformation programmes, run strategic workshops, and helped organisations improve processes, automate workflows, and drive measurable results.
Whether you're exploring AI, automation, or data strategy, we bring the experience to guide you from challenge to solution.
Let’s talk about what’s next for your organisation.
💡Other Useful Knowledge Cards
Transformation Heatmaps
Transformation heatmaps are visual tools that display how data points change or move after a transformation, such as scaling, rotating, or shifting. They use colours to show areas of higher or lower concentration, making it easy to spot patterns or differences before and after changes. These heatmaps help users quickly understand the effects of transformations in data, images, or other visual content.
API Lifecycle Management
API Lifecycle Management is the process of planning, designing, developing, testing, deploying, maintaining, and retiring application programming interfaces (APIs). It helps ensure that APIs are reliable, secure, and meet the needs of both developers and end users. Good API lifecycle management streamlines updates, tracks usage, and simplifies support over time.
Stability Index
A stability index is a measure used to assess how stable or consistent something is over time. It is often used in fields like engineering, finance, and data analysis to identify changes or shifts in a system, data set, or process. By calculating the stability index, organisations can monitor trends, detect problems early, and make informed decisions to maintain or improve performance.
Secure API Orchestration
Secure API orchestration is the process of managing and coordinating multiple application programming interfaces (APIs) in a way that ensures data and operations remain protected from unauthorised access or misuse. It involves setting up rules, authentication, and monitoring to ensure each API interaction is safe and compliant with security policies. This approach helps businesses connect different software systems reliably while keeping sensitive information secure.
Automated Bug Detection
Automated bug detection is the use of software tools or systems to find errors, flaws, or vulnerabilities in computer programs without manual checking. These tools scan source code, compiled programs, or running systems to identify issues that could cause crashes, incorrect behaviour, or security risks. By automating this process, developers can catch problems early and improve the reliability and safety of software.