As the digital perimeter of modern organizations expands beyond any wall that can be patrolled, researchers have turned to geometry itself as a weapon against malware — teaching machines to read the three-dimensional shape of malicious code before it ever runs. A team has demonstrated that representing executable files as volumetric structures, rather than flat images, allows a neural network to recognize threats it has never encountered, achieving 88% accuracy against entirely unknown malware families. The work does not promise perfection, but it reframes the ancient problem of distinguishing