Enterprise AI Data Privacy and Governance
Keeping regulated data out of models you do not control.
The most common AI privacy failure in an enterprise is not a breach. It is staff pasting regulated data into consumer tools because the sanctioned alternative is worse. Governance that only says no produces shadow usage, and shadow usage is unmonitorable. The workable answer is a capable internal option plus controls people do not need to route around.
Book a free consultationWhy this is usually broken
- Staff already use consumer AI tools on regulated data, usually without anyone knowing what has left
- Blocking without providing an alternative moves the usage rather than stopping it
- Vendor terms on training data use change, and few organisations re-review them
- Most AI governance policies are unenforceable because nothing measures compliance
How we build it
Provide the sanctioned alternative first
An internal option good enough that people use it. Policy without a usable alternative produces shadow AI, which is strictly worse than governed usage.
Data classification into the pipeline
Classification enforced where data enters the model, so the control is technical rather than a training slide.
Vendor terms review
What each provider does with prompts and outputs, reviewed on a schedule because the terms change and nobody gets a notification.
Auditable usage
Who used what, on what data, retained so an assessment can be answered with evidence rather than assertion.
What changes
Figures are drawn from Senteras engagements and are illustrative of typical results. Outcomes vary by data quality, infrastructure and scope.
Common questions
Where do we start if we do not know what is already being used?
A usage discovery pass through network and SaaS logs. It is uncomfortable and it is the right first step, because governance designed without knowing current usage tends to prohibit exactly the things people depend on.
Where we deploy this
Healthcare & Life Sciences
Reduce administrative burden and surface clinical intelligence, with privacy built in.
Financial Services
Detect fraud faster, automate compliance, and process documents at scale.
Legal
Contract review, discovery and drafting, without privileged material leaving the firm.
Government & Public Sector
Public sector AI that fits inside an existing authorisation boundary.
Education
Institutional AI that satisfies FERPA before it touches a student record.
Insurance
Submission intake, claims triage and policy analysis on your own infrastructure.
The services behind it
Local & On-Prem LLM Deployment
The most powerful AI models, running entirely on your hardware.
AI Strategy & Roadmap
A clear path from where you are to where AI can take you.
Training & Change Management
Technology alone doesn't transform organizations, people do.
Find out what this looks like for your organisation
A 30-minute call. We will tell you plainly whether AI is the right tool for the problem you have, including when it is not.
Book a free consultation