Enterprise / Adopt AI securely
Move AI forward with clearer security boundaries.
Connect the business case for AI to the data, permissions, application behavior, and operating decisions that make adoption accountable.
AI adoption decisions
What needs to be true before usage expands?
A useful adoption decision goes beyond selecting a model. Employees, third-party tools, connected data, and automated actions shape the application's actual exposure.
Start by defining the use case and the information or decisions it touches. Then agree which controls and tests are proportionate.
Questions to resolve
- Who owns the use case and approves changes?
- Which data can enter or leave the workflow?
- What access or actions do integrations permit?
- Which outputs require human review?
When to consider a review
Where a scoped review can be useful.
Internal data in AI workflows
Review retrieval, sharing, access assumptions, and the intended information boundary.
AI tools that can do things
Identify permitted actions, approval points, and the consequences of misleading instructions.
A pilot becoming an operating process
Clarify ownership, change review, testing, and the conditions for expanding access.
AI workflow overview
The model is only one part of the system.
An AI workflow connects people, information, and permissions. Review those relationships—not just the response on screen.
Define what information the application can retrieve, what actions its tools can take, and where a person needs to approve the result.
The actual boundary depends on your architecture and agreed scope.
People & use case
Ownership · intended use · approval
AI application
Instructions · retrieved data · model behavior
Outputs & actions
Validation · human review · accountability
Assessment process
Combine the right work—not every service.
Map the use case.
Identify people, systems, data paths, and meaningful failure scenarios.
Select controls and tests.
Discuss application testing, access controls, workflow hardening, and governance against the agreed use case.
Make an informed next decision.
Use the agreed findings and recommendations to assign ownership and prioritize changes.
Common questions
A practical adoption conversation.
Does this certify an AI system as safe?
No. A scoped review or test identifies observations within defined conditions. It is not a model-safety certification or a guarantee about future behavior.
Can the discussion include systems already in use?
Yes. Describe the use case at a high level first. Supported platforms, authorizations, data-handling requirements, and any implementation work must be agreed before an engagement.
Related pages
Continue the conversation.
AI & application security
Understand security testing and control considerations across AI applications, APIs, access permissions, and connected workflows.
Explore serviceAI application testing
Evaluate agreed AI application and workflow scenarios, understand findings in context, and identify practical remediation priorities.
Explore specialistPrompt-injection testing
Explore authorized prompt-injection testing for AI applications, including instruction boundaries, connected tools, and output limitations.
ExploreDiscuss your needs
A useful next step starts with your environment.
Discuss the decision, systems, and boundaries that matter. We can establish what work is appropriate before making commitments.