The types of SaaS applications in all ITAM environments has changed drastically in the last five years, due in part to emerging AI technologies. The meteoric rise of AI-based apps in the SaaS space — take ChatGPT, for example — has many people asking themselves if these tools could harm or help their organization. The answer can be the difference between preventing a detrimental data leak or unintentionally sharing sensitive company information and suffering a phishing attack (or worse).

Many ITAM professionals are concerned that whatever they share with an AI engine will become a permanent part of its bank of information, and therefore, will be accessible by anyone who knows the right questions to ask.

Samsung learned this lesson the hard way last month when they inadvertently shared company information with ChatGPT while exploring its services. By doing so, they unfortunately added private company information to ChatGPT’s data repository.

How can you ensure your organization is safely leveraging AI, whether it’s ChatGPT or anything else in the long line of AI tools on the rise in the ITAM and SaaS space? The key to ensuring your organization is not at risk is being completely aware of who is using the service and when they are using it.

In order to expose these unknowns, you must have actionable intelligence on the consumption of software and services in your environment, including data points such as:

  • Who is using specific SaaS applications with AI capabilities?
  • What information is being shared?
  • How is the application using this information?

Watch the on-demand webinar to hear the discussion about how AI like ChatGPT could potentially impact your organization and how having total visibility into its consumption can prevent disaster and may even have a positive impact.

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