Solutions · 05
Governance & security
The moment data starts flowing automatically and AI agents start acting on your systems, one question matters more than any feature: who is allowed to see and do what, and can you prove it afterwards?
We build every solution with that question answered up front. Not as a compliance document in a drawer, but as running infrastructure you can watch work.
What we build
- Access control: people, apps, and AI agents each get their own permissions. A digital employee can update stock without ever seeing salaries
- Masking and redaction: personal and sensitive data is masked before it leaves the source, so downstream tools and models never hold what they don't need
- A full audit trail: every request, answer, and action is logged. When someone asks "why did the system do that?", there is an answer
How it works
- Classify: we map what data you have, which of it is sensitive, and who legitimately needs what. GDPR requirements become concrete rules.
- Enforce: the rules live in the infrastructure, not in good intentions. Requests pass through the gate you see above: granted, masked, or blocked.
- Prove: dashboards and logs show exactly what happened. Audits stop being archaeology.
For legal and compliance questions we partner with Audit AI, so the systems we build are not just technically sound but also reviewed for fairness and regulatory fit.
Free tools
We practice what we preach. Two tools we built and use ourselves, free for anyone:
Mainlines Secrets secrets.mainlines.ai
Share passwords, keys, and sensitive files as encrypted links that self-destruct after a single view. Everything is encrypted in your browser, so nothing readable ever touches a server.
notenv github.com
A developer tool for managing project secrets from the command line. Credentials stay encrypted at rest instead of sitting in plain text .env files.
Introducing AI while staying in control? Plan a meeting and we'll walk through how governance fits your setup.