Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

A Technical blog series on where sensitive data moves in an AI workflow, what decisions Protecto makes at each point, and what enterprises get from enforcing policy once instead of everywhere.

Zenity Labs is publicly launching AI Total: a free service that runs an AI agent skill in a sandbox and tells you what it actually did, before you let it near your agents.

We've all been there. You're a few minutes from a client call, and you need one clear answer before you jump on. So, you open the project tracker then the shared drive, hunting for the latest email. Then you review a Slack thread to check if that blocker got resolved. By the time you dial in, you've burned fifteen minutes and you're still not fully sure you have the full picture. None of those tools failed you—each one had a piece of what you needed.

A session to a sanctioned AI provider looks the same on the network whichever account it ran under and whatever was in it. Transport encryption means a proxy sees a connection to an approved domain and a payload size. ‍ Which is fine until somebody asks whether an exposure is reportable. The question turns on three facts the network never held, and none of them can be reconstructed from a log afterward. ‍

Transitional relief normally works one way. A new rule arrives, existing products are carved out or given years, and anything built afterwards complies from the start. ‍ The marking obligation for synthetic content inverts that. Article 50 has applied since 2 August 2026, and a targeted transitional period gives extra time to systems that were already on the market rather than to new ones.