Signal of the Day · Security & AI Risk
JADEPUFFER deploys ENCFORGE, the first ransomware purpose-built to destroy AI model artifacts
Sysdig reports the same agentic operator returned to a compromised Langflow instance (CVE-2025-3248) and deployed ENCFORGE, Go-based ransomware encrypting roughly 180 AI/ML file extensions including model checkpoints, vector databases, training datasets and embedding indices — and unlike business files, encrypted production models often cannot be restored from backup, with rebuild and retrain costs estimated at $75,000 to $500,000 per model, meaning healthcare organizations standing up any retrievable AI state should name model weights, vector stores and embedding indices as in-scope for backup, offline snapshot and disaster-recovery testing before an incident forces the question.