Train, tune and distribute models with generative AI and machine learning capabilities
The evolving landscape of technological and cybersecurity conflicts increasingly reflects many of Sun Tzu's strategic principles from the Art of War1, with the battlefield shifting from physical terrains to the complex realm of computational intelligence. Modern cyberattacks are not simply technical disruptions; they are dynamic strategies, embodying the ancient wisdom of warfare but amplified by unprecedented speed, scale, and sophistication. The cybersecurity community today faces a critical juncture: traditional defenses, predicated on human-scale attacks, are fast becoming insufficient against this new threat landscape. The future of digital and cybersecurity demands fundamentally new approaches: adaptive, GenAI-focused defensive strategies that are attributable and auditable and mechanisms capable of staunching the speed, scale, sophistication, complexity, and autonomous nature of emerging attack strategies.