At a glance

NEXT AI builds and ships software through a secure, repeatable Software Development Lifecycle (SDLC): changes are version-controlled in Git, reviewed by two developers, tested in a staging environment that mirrors production, and released through change control. Customer data is never used in staging or local development. Security issues follow defined SLAs.

Development environments

Staging mirrors production for functional testing and QA.
No customer data is used in staging or local dev.

Version control & code review

Git for history, traceability, and rollback.
All changes go through pull requests with manual review by two developers; automated tests must pass before merge.

Controls across the lifecycle (policy-driven)

Defined phases: needs → requirements → design → build → evaluate → deploy.
Separation of duties: dev/test ≠ production; reviewers ≠ authors.
Change control: human approval; no auto-updates to prod without approval.
Secure coding: developers receive secure code training (incl. OWASP Top 10).
Testing: functional + security tests; boundary/edge cases required.
Test data: no production data in testing; tokenize/anonymize where needed.
Contracted work: secure-by-contract (design/coding/testing clauses, right-to-audit).

Standards alignment

OWASP Top 10 (2021) for common web risks and review checklists.
NIST Secure Software Development Framework (SSDF) SP 800-218 for end-to-end secure dev practices.

Security bugs and vulnerability handling

Security bugs are prioritized and fixed under documented SLAs; see Vulnerability management for details.

FAQ

Q: Does NEXT AI ever use customer production data for testing or development?

No. Staging/local environments never use customer data; test fixtures are synthetic or anonymized/tokenized.

Q: How many reviewers are required before code can ship?

Two. Every pull request is manually reviewed by two developers and must pass automated tests before merge.

Q: What happens if a release needs an emergency fix?

Emergency changes still follow change control (documented approval, review, and rollback readiness) before promotion to production.

Q: How does NEXT AI ensure secure coding practices?

NEXT AI trains developers on secure coding (incl. OWASP Top 10) and requires peer review and security testing before release.

Q: Are development and production environments separated?

Yes—logically and by role. Dev/test environments are separate from production, with controlled access and approvals for any prod change.

Q: Does NEXT AI have vulnerability SLAs?

Yes. Security bugs follow defined timelines (e.g., Critical within 24h; High within 3 days). See the Vulnerability management page for the full table.