Where it lives
Stored locally
Your searchable library is built and stored on hardware you control — not on a vendor’s servers.
Security & trust
Your data stays yours.
Your searchable library lives on your hardware. AI gets the relevant passage and its source — not your whole archive. Approved analysis runs inside your network.
What comes back
Source included
Agents receive the relevant passage with its source by default. They can request more when needed without automatically loading the whole file.
Who can see what
Team boundaries
Separate permission groups for departments, matters, or clients. Search respects those walls before anything reaches an agent.
Less leaves the building
Same answer, less exposure.
Because it stops re-reading whole files, your agent sends the model at least 60% less of your content — 69–76% fewer input tokens in our benchmarks — for the same answer. Less material ever leaves for the model provider; point it at a local model and nothing leaves the building at all.
Agent access
Your AI connects inside your network.
Find and Seek lets approved AI tools connect on your machine or private network. The searchable library is not sent through a Find and Seek cloud service. And we attacked our own connection surface before anyone asked: architecture-revealing metadata is scrubbed from every response, introspection probes are deflected, and the hardening is held by a 204-test suite — with the before/after published.
Execution
Limited to approved actions.
Find and Seek can search, combine, and total approved information. It cannot run arbitrary code or freely access the internet. Sensitive areas can require a person’s approval before analysis begins, and the result leaves a review trail.
Actions
Approved list only
Shell commands, arbitrary HTTP, and unconstrained file reads are rejected by design.
Approval
Human approval
Sensitive departments, clients, or matters can require explicit approval before analysis proceeds.
Audit
Review trail
What ran, which information it used, and which sources supported the result are recorded for review.
Still being finished
Honest boundaries.
AI responses show sources and confidence without exposing how the search works under the hood. The local searchable library is sensitive, so encryption, consent controls, and sensitivity levels are part of the enterprise release path. Individual user identity for AI connections is on the roadmap for multi-user setups.
One more thing
This is a trust summary for buyers and pilots — not a penetration-test report. For a security review on an enterprise pilot, contact enterprise@findandseek.app.