How can enterprises secure and manage the expanding ecosystem of AI applications that touch sensitive business data? Start with a governance framework.
Credit: Olivier Le Queinec / Shutterstock
From automating workflows to unlocking new insights, generative AI models like OpenAI’s GPT-4 are already delivering value in enterprises across every industry. But with this power comes a critical challenge for organizations: How do they secure and manage the expanding ecosystem of AI applications that touch sensitive business data? Generative AI solutions are popping up everywhere—embedded in platforms, integrated into products, and accessible via public tools.
In this article, we introduce a practical framework for categorizing and securing generative AI applications, giving businesses the clarity they need to govern AI interactions, mitigate risk, and stay compliant in today’s rapidly evolving technology landscape.
Types of AI applications and their impact on enterprise security
AI applications differ significantly in how they interact with data and integrate into enterprise environments, making categorization essential for organizations aiming to evaluate risk and …