Every team in your organization may be calling different models, with different access rights, different budgets, and different controls. As AI adoption scales, the missing layer becomes clear:
security teams need a practical control plane for enterprise AI usage, one that helps them govern access, monitor usage, manage risk, and bring consistency to how AI is adopted across the organization.
This session, in collaboration with CheckMates, walks through what the AI Gateway layer looks like in practice and what it takes to stay in control of AI usage across teams, tools, and models.
What You’ll Learn - Why enterprise AI usage becomes difficult to govern as adoption scales
- What an AI control plane needs to manage across access, usage, and risk
- How AI Gateway supports centralized governance for distributed AI adoption
- How Check Point experts approach AI governance and control in practice
