Security and IP

Settle access, ownership, and data boundaries before work starts.

Reduzer engineers work inside your tools under scoped access, documented IP terms, confidentiality rules, data-protection review, AI-use boundaries, and a defined exit path.

Before access

The first trust decision is practical: who owns the work, what the engineer can access, what data may be processed, how AI tools may be used, and how access ends.

Control model

Clear boundaries make external engineering easier to approve.

Reduzer works inside your access model. The engagement documents what stays under your control, what Reduzer is accountable for, and what must be reviewed before kickoff.

You control

  • Repository access
  • Credentials and environments
  • Production approval
  • Final acceptance

Reduzer controls

  • Engineer assignment
  • Review and QA discipline
  • Escalation path
  • Replacement handover

Documents capture

  • Service terms
  • Confidentiality and IP
  • DPA/transfer safeguards
  • AI-use and offboarding

Procurement answers

Give legal and security a concrete packet to review.

Contract review still happens in the documents. This page shows the questions Reduzer expects to resolve before the engineer receives meaningful access.

Who owns the code?

Client ownership of new work product is handled in the engagement documents before delivery starts.

Who grants access?

Your team grants, scopes, monitors, and revokes repository and environment access.

What about personal data?

Processing details, DPA needs, and transfer safeguards are reviewed for the engagement context.

Can AI tools see our code?

Reduzer AI and any approved tool use follow agreed code exposure limits before the engineer starts.

What happens at exit?

Open PRs, task context, handover notes, and access removal are part of the closeout path.

Next step

Bring the trust questions early.

Share the role, stack, access expectations, and procurement requirements. We will map the documents and setup path before kickoff.