The JadePuffer operation, documented as the first agentic ransomware campaign, has been upgraded with custom malware that goes after AI assets specifically. The new component, called EncForge, encrypts training datasets, vector databases, and model checkpoints rather than ordinary business files. That shifts the extortion target to the artifacts an AI team cannot easily rebuild and that often sit outside normal backup routines. JadePuffer's original intrusions ran through a critical unauthenticated code execution flaw in Langflow, an open source framework for building AI applications, with an autonomous agent then handling reconnaissance, credential theft, and persistence on its own.
Security firm Sysdig says it found what it believes is the first ransomware attack carried out from start to finish by an AI agent. The operator, which Sysdig calls JADEPUFFER, used a large language model to handle the whole job: breaking in, stealing credentials, moving through the network, then encrypting and wiping a company's production database. The way in was an old, already-patched flaw in Langflow, an open-source tool for building AI apps that is often left exposed online with cloud keys nearby. Once inside, the agent mapped the machine and swept it for secrets, including API keys for AI services and credentials for major cloud providers, before destroying data.
TrustStrike Labs