CNAPP is the Solution to Multi-cloud Flexibility

CNAPP as an AI enabler

Almost all AI tools are cloud-based. As with cloud generally, AI use cases are becoming increasingly sophisticated, and it's happening fast. According to the Boston Consulting Group, half of all companies, especially those in the financial services and technology sectors, are evolving AI use beyond "productivity plays" to start redesigning workflows, marking a maturation of cloud goals and strategies.

Going back to Gartner's assessment, AI use is speeding up business reliance on cloud computing and is likely to drive spending on infrastructure and operations to support generative AI deployments and genAI infrastructure at the edge.

Given the sensitivity of corporate information that may feed into AI tools to achieve increasingly complex business goals, the risk of data theft, data leaks, privacy and other regulatory violations, robust and integrated security capabilities are going to be essential.

Here again, CNAPP's platform approach provides the unified visibility, responsiveness, and operational efficiency security teams need to effectively protect the organization, its users, customers, and data in this evolving context.

It should be noted, as well, that benefits flow in both directions. AI and machine learning are already revolutionizing CNAPP threat detection capabilities, helping push beyond reactive cybersecurity to enable predictive, proactive measures that identify potential risk patterns based on data analytics so teams can act before threats can do harm.