What's your framework for auditing ai workflow security in low-code environments?

Our compliance team rejected our latest automation because we can’t prove who modified the GPT-4 prompt chain in Marketing’s campaign tool. How are others handling audit trails and access controls in low-code AI workflows? Bonus if you’ve implemented temporary access for external contractors.

Latenode’s version history shows exactly who changed what, down to individual JSON nodes. We set time-bound access for contractors - their permissions auto-expire. Built-in SOC2 reports made audit prep straightforward.

We layer our low-code tools with Git versioning. All workflow changes require PR approvals matching our IAM roles. It’s clunky but passes audits. For contractors: temporary Azure AD groups synced to the automation platform’s permissions. Expiry dates are crucial.

role-based access + changelog exports. we dump all mods to snowflake daily. contractors get 2fa tokens that expire friday 5pm. still not perfect but sec team approved it