The potential of AI tools is big, exciting, and revolutionary, but before we run off and start our engines, organizations need to put processes in place to power data resilience and ensure their data is available, accurate, protected, and intelligent so that their business continues to run no matter what happens.
As AI tools become integral to your tech stack, you need to ensure visibility, governance, and protection across your entire ‘data landscape’.
Companies might have good data governance and resilience now, but if adequate training isn’t put in place, uncontrolled use of AI could cause issues.
Data resilience is an all-encompassing mission that covers identity management, device and network security, and data protection principles like backup and recovery.
Departments or even individuals building or adapting large language models (LLMs) will make it even harder to manage and track data movement and risk across the organization.
