In today’s fast-paced digital landscape, the widespread adoption of AI (Artificial Intelligence) tools is transforming the way organizations operate. From chatbots to generative AI models, these SaaS-based applications offer numerous benefits, from enhanced productivity to improved decision-making. Employees using AI tools experience the advantages of quick answers and accurate results, enabling them to perform their jobs more effectively and efficiently. This popularity is reflected in the staggering numbers associated with AI tools.
OpenAI’s viral chatbot, ChatGPT, has amassed approximately 100 million users worldwide, while other generative AI tools like DALL·E and Bard have also gained significant traction for their ability to generate impressive content effortlessly. The generative AI market is projected to exceed $22 billion by 2025, indicating the growing reliance on AI technologies.
However, amidst the enthusiasm surrounding AI adoption, it is imperative to address the concerns of security professionals in organizations. They raise legitimate questions about the usage and permissions of AI applications within their infrastructure: Who is using these applications, and for what purposes? Which AI applications have access to company data, and what level of access have they been granted? What is the information employees share with these applications? What are the compliance implications?
The importance of understanding which AI applications are in use, and the access they have cannot be overstated. It is the basic yet imperative first step to both understanding and controlling AI usage. Security professionals need to have full visibility into the AI tools utilized by employees.
images from Hacker News