How it works
Where your data stays: inside your environment, no external model
A short guide for security, risk, and IT reviewers.
Short answer
NexDiscovery runs inside your environment, in a VPC or on-premises, with read-only access. Nothing leaves. No external model is called.
Key takeaways
- Deployment is inside your boundary: VPC or on-premises.
- Nothing leaves your environment. Your data is never used to train any model.
- No external model is called. All inference runs inside your environment.
On this page ▾
The three questions most reviewers ask first
Where does it run? Inside your environment: your VPC or on-premises.
Does our data leave? No. Your data stays inside your environment. Nothing leaves.
Is an external model called? No. No external model is called, and your data is never used to train any model.
Why it matters
Regulated industries, sovereign requirements, and boards that will not accept sending a warehouse to a public model all need this answer early. It is a design constraint, not an afterthought.
How it compares with chat on a public model
A chat window on a public model typically sends content outside your boundary to get an answer. NexDiscovery is built so the intelligence loop runs where your data already lives.
What it works with
The systems you already run, such as CRM, billing, finance, ERP, and files, without moving your data.
Going deeper
Connectors authenticate with read-only credentials, scoped to the fields agreed during sprint design. Every read is logged, and working data is formally disposed of at the end of the engagement. For the full detail, see the Security page and AI Transparency, and bring your reviewers to the Scoping Call so their questions are covered on your actual environment.
Frequently asked questions
Does NexDiscovery send my data to an external model?
Where can NexDiscovery be deployed?
Do I need to move data into a new platform?
Is data logged and disposed of?
Who should join the scoping call for a security review?
Related guides
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Company context is how your organization defines customers, products, cost, risk, and success, plus how your systems store and relate that information.
Read guideBuyer's guide: how to evaluate an enterprise insights platform
Evaluate an enterprise insights platform on what it does before the first question is asked, how it knows what your data means, whether it validates its own findings, how much of its method it shows, and where it runs.
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The 30-Day Discovery Sprint is the starting point with NexDiscovery.
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