How Do AI Training Inputs Influence Your Business Data Security?
How do the inputs of LLM model training influence your organisational data risk profile and risk prioritisation?
In the dynamic world of AI, the power of large language models (LLMs) is transforming operations, enhancing customer interactions, and driving unprecedented productivity. Today, let's explore how the inputs of AI model training influence your organisational data risk profile and risk prioritisation.
Training: Embrace the Chatty Side
Imagine training an AI, which is like teaching a new employee. The best way to get stellar performance? Clear, concise, and consistent training materials. For LLMs, the ideal format often resembles chat-style question-and-answer formatting. This format mirrors natural conversation, making it easier for the AI to learn and replicate human-like dialogue.
Think of it like prepping for a game of 20 Questions. If you train your AI with a straightforward Q&A style, it's more likely to understand and respond accurately. Plus, this format helps the AI catch nuances in human communication, making it a chat wizard in no time!
Architectural Considerations: Chat Apps – Outsized Commercial Risk
Before you get too excited about deploying your new simple chat system, let's talk data privacy and licensing terms. Applications that communicate via a two-way chat system carry higher natural risks. Why? These systems are data sponges and are naturally in a format that is easier for training custom LLM’s with very little manipulation. They soak up vast amounts of sensitive information from users, increasing the risk of data breaches or misuse.
When integrating a chat system in this modern age, think of it like setting up a new vault in your office. You wouldn't just throw your valuables in and hope for the best. You'd ensure it's secure, monitored, and accessible only to trusted personnel. Similarly, robust security protocols, regular audits, and precise data handling policies are crucial to safeguard your chat app from potential threats.
Prioritising Application Risks: The Risky Business of Apps
In the bustling ecosystem of your organisational stack, not all applications are created equal. Each type has its risk profile, which can help you prioritise your risk management efforts effectively.
Let's break it down
| Application Type | Business Risk | LLM Training Difficulty |
|---|---|---|
| Chat and Communication Tools | High | High |
| Customer Relationship Management (CRM) | Medium | High |
| Human Resources Management Systems (HRMS) | High | Medium |
| Enterprise Resource Planning (ERP) | High | Low |
| Document Management Systems (DMS) | Medium | Medium |
| Project Management Tools | Low | Low |
| Business Intelligence and Analytics | Low | Medium |
| Supply Chain Management (SCM) | Medium | Low |
| Marketing Automation | Medium | High |
As a final brief word, by understanding your cascading your application risk types, you can allocate resources and attention where needed most, ensuring your business remains secure and resilient.
