AI & Data Protection
Adopt approved AI tools, including Microsoft Copilot, with stronger information governance, access control and protection around business data.
AI data readiness
Permission review
Sensitive data protection
Ongoing AI governance
Your four-step journey
From AI uncertainty to controlled access
Scope
Agree the AI services, users and information to review.
Assess
Identify exposure, ownership and access gaps.
Improve
Prioritise and implement agreed protection changes.
Review
Check exceptions and revisit controls as AI use changes.
AI IN PRACTICE
Keep useful AI within the right information boundaries
An employee asks an AI assistant for a routine business summary. If the underlying access is too broad, confidential information may also be within reach. ITFR helps review those boundaries before AI makes the problem easier to discover.
- Access aligned with business need
- Sensitive information handled with care
- Clear decisions before connecting AI tools
Illustrative scenario · ChatABC is a fictional assistant.
BEFORE CONNECTING A NEW AI TOOL
Know where your business information goes
We review the agreed supplier’s data flows, retention settings and relevant terms, then document safeguards, unresolved questions and decisions that need specialist review.
What IT First Responder handles
Practical support for AI data protection
Information discovery
Locate priority sensitive information, external sharing and ownership gaps across the services in scope.
Access & identity
Review users, groups, privileges and relevant Microsoft 365 / Copilot prerequisites.
Protection controls
Coordinate permissions, labels, DLP, retention and sharing improvements suited to the agreed use.
Handover & review
Record approved use, decisions, owners and exceptions; provide agreed reporting and ongoing reviews.
COMMON QUESTIONS
Your AI data protection questions, answered
Does this cover tools beyond Microsoft Copilot?
Yes. We agree the services and information in scope, then assess the relevant controls. Microsoft 365 and Copilot-specific prerequisites are reviewed where applicable.
Can we start with one use case or team?
Yes. A defined initial scope helps prioritise the most relevant information and access issues before extending the work.
What will the work cost?
The scope depends on your systems, information sensitivity, current controls and required improvements. We agree the deliverables and price before starting.
Can this prevent every AI data incident?
No. The work helps reduce identified risks. Effectiveness depends on the controls available, how they are configured and how people use the services.
Can ITFR keep helping after the initial review?
Yes. Agreed ongoing support can cover protection events, permissions, policies, approved AI use, exceptions and priority improvements as your environment changes.
READY TO GET STARTED?
Make your next AI step a safer one
Talk to us about your AI tools, information and the controls that need attention.
