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Artificial Intelligence Data and Model Protection
Review protection of model access and sensitive data.
Request This Service →01 / Purpose
What this service solves
Protection review for training data, prompts, embeddings, model access, secrets and sensitive outputs.
Outcomes
Review protection of model access and sensitive data.
The engagement brief establishes deliverables, responsibilities and acceptance criteria for your scope.
02 / Scope
Build around your environment.
Share data sources, model access paths, embedding stores, retention rules and secret boundaries.
Capabilities in scope
Scope is tailored to the following areas:
- Data sources and embedding stores
- Sensitive outputs or secrets risk
- Model access paths
- Retention and deletion rules
Relevant technologies & environments
- Where are prompts, embeddings and model outputs stored?
- What secrets or sensitive data could reach the model?
- How are model access and data retention governed?
03 / Delivery
A clear path to engagement.
- Share your context
Describe your objectives, systems and current controls.
- Agree the boundaries
Review technical scope, authorization, access and delivery constraints.
- Confirm the engagement
Agree responsibilities, timing and expected outputs before work begins.