Ban or stall
Teams cannot get an approved tool into the workflow quickly enough to matter.
Slide 01
A hard no pushes AI into personal accounts, unsanctioned workflows, pasted code, and zero-governance behavior. It does not make the capability disappear.
Slide 02
Teams cannot get an approved tool into the workflow quickly enough to matter.
Personal accounts, copied logs, pasted code, and unofficial prompts fill the gap.
No identity binding, no audit trail, no policy enforcement, and no clean incident path.
Invisible use is worse than sanctioned use. You cannot defend what you cannot see, and you cannot investigate what you never instrumented.
The organization takes on AI risk without getting any of the control benefits.
Slide 03
Slower shipping, slower remediation, and slower product learning all show up financially even when they never hit the security budget line.
Slide 04
Run repo-wide checks continuously instead of intermittently.
Use agents to enumerate endpoints, workflows, and drift before they become surprises.
Increase coverage on fragile paths the team never had time to touch.
This is not just new risk. It is new capacity against a backlog your human-speed operating model never cleared.
Operating implication
Slide 05
If safety depends on calendar invites and manual exceptions, the model fails at scale. Guardrails have to sit directly in the path.
Slide 06
Define approved environments, named data classes, identity controls, audit logging, review gates, and rollback plans. Make security the designer of the path, not the blocker at the edge.
If security does not design the path, the organization will still move. It will just move without security's controls or trust.
Closing line