BlueRock in Action: Neutralizing Deserialization Attacks Against AI/ML Workloads
AI/ML systems are rapidly adopting Python-based tools, exposing organizations to serious security threats—particularly from insecure deserialization. Attackers now exploit pickle-based flaws across major ML frameworks like PyTorch, Keras, vLLM, and BentoML to execute remote code, steal data, or corrupt models. With zero-days on the rise and patching cycles lagging, traditional defenses fall short.