The sheer volume of intellectual property data, customer personally identifiable information (PII), employee PII and other data categories can make it difficult for companies to control who has access to data and where they store it.
As more operations move to cloud environments and incorporate artificial intelligence (AI) and machine-learning (ML) functionality, data is traveling over many new pathways and being used in many new tools and to train ML models. Each new pathway and use case represents a potential data breach.