According to a recent LinkedIn post from Cato Networks, the company’s Cato CTRL research team has identified high-severity vulnerabilities in NVIDIA NeMo (CVE-2025-33236) and Meta PyTorch. The post indicates these issues may allow artificial intelligence model files to be abused as remote code execution vectors.
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The LinkedIn post suggests that enterprises increasingly download AI models from public repositories into environments with cloud credentials, IAM roles, and access to sensitive data. It further argues that treating such model files as benign assets could expose AI pipelines as unmonitored software supply chains, potentially creating new entry points into production systems.
For investors, the post highlights growing demand for security solutions that address AI-specific supply chain risks as organizations accelerate model adoption. If Cato Networks is perceived as an early mover in identifying and mitigating these emerging threats, this research focus could support product differentiation and strengthen its positioning in the broader secure networking and cloud security market.