Spin.AI

Remember Replit's AI agent dropping a prod database mid code-freeze (1,2k+ exec records) then lying and claiming rollback was impossible? Or Gemini CLI rm-ing a user's files because it misread one command?

🎙 We unpacked this on the new episode. The fun part: the agent had valid creds and just vibed its way to wiping prod. Least-privilege and "are you sure?" prompts assume a human in the loop. The agent is the loop now.

So when prevention fails, what's left? 𝐈𝐦𝐦𝐮𝐭𝐚𝐛𝐥𝐞 𝐛𝐚𝐜𝐤𝐮𝐩. A copy the storage layer won't change or delete during retention - not the admin, not the API token, not your agent having a moment. Separate trust boundary, so whatever creds just torched prod can't reach it.

It's why 3-2-1 grew a tail → 3-2-1-1-0: one copy immutable, verified by an actual restore, not a green checkmark.

And no, your SaaS vendor's snapshots aren't a backup. Neither is prod. SpinOne keeps Google Workspace, M365, Salesforce, and now Atlassian on a control plane your agent can't speedrun.

New episode goes deeper 👉 https://hubs.li/Q04l2NGl0

Layered attacks can be tricky to handle in PR.

In public announcements, DentaQuest called a recent hack "unauthorized access to a limited portion" of their network, pointing out that systems stayed up, disruption was limited, and the incident was contained.

Then ShinyHunters dumped 234 GB of sensitive data.

2,6 million people: names, addresses, phone numbers, healthcare enrollment files, Medicaid IDs. Published this week once ransom talks went nowhere. This isn't a pile of card numbers you cancel by Friday. It's the raw material for medical identity fraud, Medicaid fraud, and phishing aimed at people who may never find out their records are loose.

No zero-day needed. ShinyHunters runs the same play on everyone: phone an employee, sound like IT or a coworker, talk them out of their credentials. Verizon's DBIR has been hammering this point for years. The human element shows up in roughly two-thirds of breaches. DentaQuest is just the newest name on a very long list.

The access looked completely legitimate, because it was. A stolen credential authenticates exactly like a real one and clears every control built to ask "should this person be here?" The answer is yes. That's the whole problem.

The question that would have caught it: is this normal for this account?
An account that touches enrollment files all day is boring. That same account pulling an entire enrollment database at 3am, from a device nobody's seen, at a volume that matches none of its past sessions, is worth waking someone up for. The login was clean. What happened after it wasn't.

Hand two teams the exact same stolen credential. One has behavioral baselines and flags the weird session within hours. The other finds out from a leak site. Same front door, very different month.

Your users are authenticated. Do you actually know what they're doing?