How To Protect Your Data In An AI-Driven World
This page explains how AI tools like ChatGPT and Copilot collect, store and sometimes train on your data. It offers practical steps: check opt-out settings, review vendor data-flow diagrams, compare security features, and understand differences between free and paid plans.
OpenAI and Microsoft Copilot are the named services to watch, and two out of three Australian office workers had been using AI without telling their bosses smartcompany.com.au. How to Protect Your Data in an AI-Driven World starts with checking opt-out and history settings, requesting vendor data-flow diagrams, and practising data minimisation before you share prompts help.openai.com.
- Two out of three Australian office workers were using AI without telling their bosses smartcompany.com.au.
- About 11% of data shared by professionals is strictly confidential, including business strategies smartcompany.com.au.
- Prompts and responses may be stored for history, compliance, audit, or abuse monitoring even when not used to train a foundation model collab365.com.
- 80% of surveyed data experts agree AI is leading to more data security issues rolloutit.net.
What kinds of personal and business data can AI tools collect, store, or infer from user activity?
AI tools are collecting and reflecting a surprisingly broad set of signals, and two out of three Australian office workers used AI without telling their bosses smartcompany.com.au.
A Slack study found 60% of executives felt high urgency to use AI while only 35% of employees received guidance smartcompany.com.au.
Professionals report that about 11% of data they share is strictly confidential, including business strategies smartcompany.com.au.
Employees routinely share personal details such as names, addresses and contacts with AI platforms smartcompany.com.au.
Professionals also input sensitive client or employee data into these systems smartcompany.com.au.
Confidential financial information, both personal and business, is being loaded into AI platforms smartcompany.com.au.
How to Protect Your Data in an AI-Driven World.
AI training sources can include public online datasets, customer data, industry archives, file shares and object stores vastdata.com.
Training inputs span text, numbers, images and videos vastdata.com.
Queries may arrive from human users, connected sensors or business systems vastdata.com.
Inference logs can store the chosen model, training data, prompts and responses for transparency and compliance vastdata.com.
Organisations commonly monitor prompts and uploaded or downloaded data to control usage gartner.com.
How to Protect Your Data in an AI-Driven World.
AI-driven search systems track clicks, dwell time and navigation paths rolloutit.net.
These systems also gather device information such as location and IP addresses rolloutit.net.
Search algorithms analyse past searches to refine results rolloutit.net.
Data from external platforms is often integrated into AI-driven search systems to enhance functionality rolloutit.net.
How to Protect Your Data in an AI-Driven World.
How can you check whether an AI service uses your prompts or uploaded files to train its models?
Checking an AI service’s training use starts with its published settings: after opting out, OpenAI says it will not use new conversations to improve its models help.openai.com.
How to Protect Your Data in an AI-Driven World.
For individual plans, submitting feedback on a response may allow the entire conversation to be used for improvement even after you opt out, so watch feedback flows help.openai.com.
Temporary chats are not used to improve OpenAI models while they remain temporary, according to the provider help.openai.com.
Codex offers a separate control for whether full environments can be used for training, so check that setting if you use it help.openai.com.
According to the available specification, Microsoft Copilot does not use prompts, responses or Microsoft Graph data to train its foundation models, so verify vendor claims against your contract collab365.com.
How to Protect Your Data in an AI-Driven World.
Before engagement, request vendor data-flow diagrams so you can trace where prompts, files and telemetry travel inside and outside an organisation gartner.com.
How to Protect Your Data in an AI-Driven World.
Which security features should you compare when choosing an AI tool, such as encryption, data-retention limits, and multifactor authentication?
Security features to compare include encryption, connectors, retention and access controls; Microsoft Copilot encrypts data at rest and in transit collab365.com.
How to Protect Your Data in an AI-Driven World.
Connectors, agents, plug-ins and uploaded files widen the data path and require separate permission and terms reviews before you enable them collab365.com.
Record model-training histories and retention settings before enabling a service so you know what will persist and for how long collab365.com.
A banking IT approach is to limit model access by data classification, minimisation and role-based controls, with anonymisation and encryption by default gartner.com.
Some organisations restrict ChatGPT access to control data flow and usage; ask how your peers do it and why gartner.com.
How to Protect Your Data in an AI-Driven World.
Encrypt data at every stage as a recommended security measure rolloutit.net.
Adopt Zero Trust principles—constant checks and limited access—to reduce lateral exposure when models and data interact rolloutit.net.
How do free and paid AI plans differ in their data-use and privacy settings?
Plan and product choices change whether your inputs are used to train models: OpenAI may use content from Free, Plus and Pro services to train its models help.openai.com.
How to Protect Your Data in an AI-Driven World.
By contrast, OpenAI says it does not use inputs or outputs from ChatGPT Business, Enterprise, Edu or its API to improve models by default, so enterprise and education plans often carry different defaults help.openai.com.
OpenAI also states it will not use prompts, responses or files from ChatGPT Business, Enterprise or Edu for model improvement unless an organisation signs a separate agreement, so check contracts carefully help.openai.com.
Whether a service uses your business data depends on the product, plan, settings and the contract you sign, so treat plans and agreements as the single source of truth collab365.com.
How to Protect Your Data in an AI-Driven World.
How to Protect Your Data in an AI-Driven World: What steps should you take before sharing sensitive information with an AI tool?
Before you share, follow a disciplined approach: data minimisation is identified as the strongest control, only giving the service what the task needs collab365.com.
How to Protect Your Data in an AI-Driven World.
Remove names, account numbers, secrets and unnecessary context from prompts before submitting information to reduce exposure collab365.com.
Test services with synthetic or low‑risk data first to validate behaviour before you hand over anything sensitive collab365.com.
Organisational policy should stress not sharing corporate secrets and securing data properly, a view echoed by a Chief Innovation Officer and CISO in Services gartner.com.
How to Protect Your Data in an AI-Driven World.
What privacy and security risks can arise when AI systems retain, infer, or expose user data?
Retention and visibility risks are real: prompts and responses may be stored for history, compliance, audit or abuse monitoring even when they are not used to train a foundation model collab365.com.
How to Protect Your Data in an AI-Driven World.
Copilot can make already-authorised, overshared content easier to find and reuse, raising exposure risk inside organisations collab365.com.
History controls can change what a user sees or what is used for model improvement without preventing temporary retention for safety, compliance or operation collab365.com.
Employees continue to input passwords into AI tools, potentially exposing multiple accounts to breaches smartcompany.com.au.
AI platforms are not designed to store credentials securely, increasing that danger smartcompany.com.au.
Professionals sometimes add intellectual property or codebases to chatbots, risking proprietary code being stored or used to train models smartcompany.com.au.
How to Protect Your Data in an AI-Driven World.
Risk modelling with STRIDE is used to simulate threats such as information disclosure and denial of service gartner.com.
Surveyed experts report rising concern: 80% of data experts agree AI is leading to more data security issues rolloutit.net.
A cited report found a 78% year-over-year increase in data compromises, underscoring practical consequences rolloutit.net.
AI systems may store large amounts of user data for extended periods, leaving it vulnerable even when not actively used rolloutit.net.
Some companies may use collected data beyond consent for advertising or sale to third parties, which raises regulatory and ethical risks rolloutit.net.
Reliance on third-party services can expose data to multiple parties with unclear security protocols rolloutit.net.
How to Protect Your Data in an AI-Driven World.
What should you do if you accidentally share confidential data with an AI service or suspect it has been exposed?
Incident response should be fast: deploy attack-response systems that can identify issues, stop the spread, and fix vulnerabilities quickly rolloutit.net.
How to Protect Your Data in an AI-Driven World.
How to Protect Your Data in an AI-Driven World.
How to Protect Your Data in an AI-Driven World.
| Finding | Reported figure | Source and date |
|---|---|---|
| Australian office workers were using AI tools without telling their bosses smartcompany.com.au | Two out of three Australian office workers smartcompany.com.au | smartcompany.com.au, 2025-01 smartcompany.com.au |
| Australian executives felt high urgency to use AI at work smartcompany.com.au | 60% of Australian executives smartcompany.com.au | smartcompany.com.au, 2025-01 smartcompany.com.au |
| Employees received guidance smartcompany.com.au | 35% of employees smartcompany.com.au | smartcompany.com.au, 2025-01 smartcompany.com.au |
| Data shared by professionals is strictly confidential, including business… smartcompany.com.au | 11% smartcompany.com.au | smartcompany.com.au, 2025-01 smartcompany.com.au |
| Surveyed data experts agree AI is leading to more data security issues rolloutit.net | 80% of surveyed data experts rolloutit.net | rolloutit.net, 2025-02 rolloutit.net |
| Increase in data compromises compared with the previous year rolloutit.net | 78% rolloutit.net | rolloutit.net, 2025-02 rolloutit.net |
Key Takeaways
- Opt out of model-improvement where available and verify temporary-chat behaviour before submitting sensitive prompts help.openai.com.
- Request vendor data-flow diagrams before engagement so you can trace where prompts and files travel gartner.com.
- Apply data minimisation: remove names, account numbers and secrets, and test with synthetic data first collab365.com.
- Compare plan defaults: Free/Plus/Pro content may train models while Business/Enterprise/Edu plans use different defaults—check contracts help.openai.com.
- Use encryption and Zero Trust principles to limit access and reduce exposure across connectors and integrations collab365.com.
Frequently Asked Questions
What kinds of personal and business data can AI tools collect, store, or infer from user activity?
AI tools can collect prompts and responses for history, compliance, audit or abuse monitoring even when those records aren’t used to train foundation models collab365.com.
How can you check whether an AI service uses your prompts or uploaded files to train its models?
Check provider settings: opting out stops new conversations from being used to improve OpenAI models, temporary chats are not used while temporary, and Codex has a separate training setting help.openai.com.
Which security features should you compare when choosing an AI tool, such as encryption, data-retention limits, and multifactor authentication?
Compare encryption, connectors and retention settings: Microsoft Copilot encrypts data at rest and in transit and connectors or plug-ins widen data paths requiring separate reviews collab365.com.
How do free and paid AI plans differ in their data-use and privacy settings?
Free, Plus and Pro content may be used to train OpenAI’s models, while ChatGPT Business, Enterprise and Edu inputs and API data are not used to improve models by default help.openai.com.
What steps should you take before sharing sensitive information with an AI tool?
Minimise what you send: remove names, account numbers and secrets, and test with synthetic or low-risk data first as a precaution collab365.com.
What privacy and security risks can arise when AI systems retain, infer, or expose user data?
AI systems may retain large amounts of user data for extended periods and some companies may use collected data beyond consent, increasing risk rolloutit.net.
What should you do if you accidentally share confidential data with an AI service or suspect it has been exposed?
Activate incident response and attack‑response systems to identify issues, stop spread and fix vulnerabilities quickly if you suspect exposure rolloutit.net.
Sources
- The top five sensitive data types employees are feeding AI (2025-01-30)
- How your data is used to improve model performance
- AI Data Security: What Happens to Your Business Data? (2026-03-30)
- Privacy Considerations for AI-Driven Search Systems (2025-02-09)
- How Does AI Get Its Data? Understanding the Fuel Behind the Intelligence (2025-05-14)
- What strategies are you using to protect sensitive data flowing through AI systems? How do you balance the data access AI models need with data protection and privacy requirements? (2025-12-10)
