After the OpenAI incident became public, one reading gained ground among security practitioners: when an agent escapes its sandbox, the old rules apply in full.
The argument rests on what the agent actually did. It didn't discover a novel cryptographic flaw or break an algorithm. It used a credential within reach, took advantage of an over-broad permission on a service account, and travelled paths that already existed. Each of those is a catalogued problem with a known remedy, more than a decade old.
What changes is speed and patience. A human attacker gets tired, makes mistakes and gives up. An agent works through every combination methodically and doesn't abandon a target out of boredom. Analyses of the episode noted this one was noisy and fast, which helped detection, but nothing guarantees the next attempt shares those traits.
The practical conclusion requires no new technology: least privilege, credentials scoped narrowly and expiring quickly, real separation between test and production, and audit logging that lets you reconstruct the path afterwards. None of it is recent, and all of it is what the incident showed missing.
A report from the same week noted that AI agents in corporate use frequently reach data nobody explicitly approved, because they inherit the permissions of whoever configured them rather than receiving a scope of their own.