AN AI AGENT BROKE INTO A COMPANY, STOLE CREDENTIALS, AND WIPED THEIR ENTIRE DATABASE IN UNDER 2 MINUTES – WITH ZERO HUMANS INVOLVED AFTER THE FIRST CLICK
Sysdig's threat team just documented it. They're calling it Jade Puffer – the first fully AI-run ransomware attack, start to finish.
Here's what actually happened:
→ Attacker broke in through a known flaw in a Langflow instance
→ Handed control to an AI agent and stepped back
→ The AI did literally everything from there
Stole credentials. Pivoted to a production database. Wiped the configuration files completely.
Total time: under 2 minutes.
For context: the average SOC analyst takes 15-30 minutes just to triage a single alert.
This attack was already finished before a human could finish reading it.
This isn't AI writing phishing emails anymore. This is an agent making live decisions mid-attack – reading command output, picking its next move, against a target it had never seen.
No script. No playbook.
The human still picks the target and fires the first exploit. Everything after that is now fully automated.
Which means old detection methods are already obsolete. Security teams have to stop chasing known signatures and start catching behavior – credential access, mass exfiltration, unusual API patterns – because the agent writes a new attack plan for every single target.
This already happened. It's not a warning about the future.
MICROSOFT JUST WARNED THAT YOUR AI AGENT CAN LEAK YOUR COMPANY'S DATA WITHOUT BREAKING A SINGLE RULE
Here's the vulnerability nobody's watching for:
AI agents like Microsoft 365 Copilot connect to outside tools using MCP (Model Context Protocol) – basically the plumbing that lets an AI call an external service on your behalf.
Every tool comes with a plain-text description telling the agent what it does. That description sits right next to the agent's real instructions in memory.
And whoever controls that tool can edit the description at any time.
Microsoft walked through a real scenario:
→ A finance team's AI agent connects to an already-approved invoice tool
→ An attacker quietly edits that tool's description with hidden instructions
→ The agent picks up the change automatically – no approval needed
→ Next routine question from an analyst, and the agent silently pulls 30 unpaid invoices and ships them to an attacker-controlled server
Every step looks legitimate. The tool was approved. The query ran under the analyst's own permissions.
Nothing triggers an alert.
This isn't theoretical. OWASP already lists this as a top vulnerability against AI agents.
If your company connects AI agents to third-party tools, this is worth reading twice.
Bookmark this, you'll want to come back to it later.