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AI & Enterprise

Ransomware targeting AI models emerges, encrypting training weights and raising recovery cost concerns

U.S. security firm Sysdig said the same attacker breached an internet-exposed Langflow server twice, using AI-focused ransomware called ENCFORGE in the second attack. The intrusions exploited a Langflow authentication bypass flaw to run arbitrary Python code and later evolved to encrypt AI assets. ENCFORGE selectively encrypts model checkpoints, vector indexes and training data. Sysdig estimated rebuilding a fine-tuned production model could cost $75,000 to $500,000.

AI & Enterprise

No time to respond to ultra-fast AI attacks, \'patch gap\' alarm

Growing concern is emerging over a so-called patch gap, as AI can find vulnerabilities and write attack code within hours, leaving corporate security teams with less time to fix flaws. A Google M-Trends 2026 report cites cases where attacks occur before patches are deployed. Tests of Anthropic’s Mythos preview also showed rapid exploit generation for Windows kernel and Firefox vulnerabilities, while experts propose new prioritisation methods for patching.