Google unveiled cheaper, more efficient Gemini models alongside a new cybersecurity offering designed to challenge emerging players in the enterprise security space, marking its biggest push yet to compete on price in the AI arms race. The new Gemini Flash models prioritize affordability by consuming fewer computational resources, translating to lower bills for businesses running inference at scale, though exact pricing tiers were not disclosed. The company is also launching a direct competitor to Mythos and other AI-powered security platforms, creating purpose-built AI tools for threat detection, vulnerability assessment, and security operations. This move signals Google's recognition that winning the AI market requires accessibility and cost-effectiveness, as companies spent months evaluating AI platforms in 2025 and early 2026, with many choosing based on total cost of ownership rather than pure performance. The cybersecurity angle is strategic, as AI systems become more critical to business operations and require protection from adversarial attacks, data privacy during training and inference, and compliance with evolving regulations.