Course Overview

AI Data and Security Risks at Work explains how artificial intelligence tools introduce security risks when used in everyday workplace tasks. It focuses on data handling, confidentiality, and responsible use.

This course examines how AI data and security risks arise when information is entered into public or external AI tools. It explains how data leakage, intellectual property exposure, and compliance issues can occur when organisational information leaves secure environments.

The content describes types of information that should never be shared with AI tools, including customer data, employee information, financial details, and proprietary business material. It also explores the risk of inaccurate AI-generated output and how this can affect workplace decisions and communications.

Practical guidance is provided on safe AI practices at work, such as anonymising information, using approved tools, and checking organisational policies.

The course emphasises individual responsibility, verification, and reporting processes to help organisations manage AI data and security risks effectively.

Course Objectives

By the end of the course, learners will be able to:

• Explain how workplace AI tool use creates data security risks
• Identify information that must not be shared with AI tools
• Apply safe practices when using approved AI tools
• Follow organisational policies for responsible AI use