AI Protection
Move forward with AI.
Keep control.
AI can help people work faster. You still need to know what information it can see, what it can change, and who is responsible.
Start by understanding how your team uses AI. Define the review needed before choosing tools, adding controls, or expanding access.
7 questions. See a suggested starting point before sharing contact details.
A framework for discovery, not a claim of automated protection.
From problem to next step
What do you need to understand about AI?
Start with a real business use. These questions help define a useful review without assuming every tool or team needs the same solution.
We do not know which AI tools people use.
Get a clearer picture before setting rules.
Discuss the tools, teams, and business tasks involved. Identify who owns each use and where a more detailed review may be needed.
AI use and ownership discovery
We are unsure what information AI can see.
Make decisions about data with more clarity.
Identify the information people enter and the systems a tool connects to. Agree which settings, permissions, and data-handling questions need investigation.
Data access and sharing review scoping
AI can take actions, but the limits are unclear.
Define where permissions and approval matter.
Map the intended actions and the accounts or connections that enable them. Discuss where human approval, narrower access, or a way to stop an action may be needed.
Permissions and human oversight discovery
AI-generated code is moving into production.
Know what needs review before release.
Discuss where generated code is used, who reviews it, and the testing already in place. Define any additional security review and the expertise needed.
Code review and release process scoping
How to begin
Start with discovery. Define the right review.
AI Protection begins with a conversation about your use case. Supported tools, technical testing, deliverables, and implementation are confirmed in a written scope.
Understand the use case
Describe what AI helps your team do, which tools are involved, and what data or systems they connect to.
Define the questions
Agree what needs closer review: information sharing, access, actions, generated code, or ownership.
Agree on the next step
Confirm whether a review or implementation project is a fit, who should be involved, and what a useful result would look like.
Connected protection
AI also depends on the systems around it
Before you decide
Clear answers.
Practical expectations.
What does AI Protection include today?
The starting point is discovery and scoping: understand your AI use, the questions you need answered, and whether a review is a fit. Technical testing, tool configuration, code review, and ongoing monitoring are only included when explicitly agreed.
Can this cover ChatGPT, Copilot, or AI agents?
Tell us which products, accounts, and integrations you use. Supported tools, access requirements, and the review method need to be confirmed before we agree on the work.
Does the online assessment scan our AI tools?
No. It uses your answers to suggest a starting point. It does not connect to your accounts, inspect code, test an AI model, or certify compliance.
Should we stop using AI while we review it?
The right decision depends on the use case, information involved, and existing controls. Start by clarifying those facts rather than applying one rule to every activity.
Can we combine this with other protection work?
Yes, we can discuss the connections to your user, cloud, and network needs. Each area still needs a clear scope and agreed responsibilities.
Your next step
Make the next AI decision with more clarity.
Start with your business needs. The assessment helps identify what to discuss before you commit to a tool or a project.
Find my starting pointQuestions first. A practical conversation next.