The Black Hat presentation titled *Deal With It* explores security risks in Python’s *pickle* serialization format, widely used in AI/ML and data science for sharing datasets. Presenters George Litvinov and Andrew Johnston, both Google security engineers, demonstrate how unpickling untrusted files enables arbitrary code execution via the *reduce* opcode, which can invoke functions like *os.system*. They evaluate open-source pickle scanners, revealing bypass techniques such as invalid opcodes, nested pickles, and string reconstruction to evade detection. Their tool, *Safer Pickle*, addresses these gaps with a two-tiered architecture—emulating calls with dummy modules and performing opcode-level analysis—while allowing customizable allow/deny lists. The tool achieves ~10 MB/s scanning speed and integrates with VirusTotal, though the presenters emphasize that *pickle* remains inherently unsafe, recommending alternatives like *safe tensors*. Key takeaways include tailoring security solutions to specific environments and avoiding over-permissive allow lists. The project is open-source on GitHub under *Google/safer-pickle*.