Segev emphasizes the need for businesses to get comfortable with the ever-evolving nature of their data and to allow their teams to use it to create value. He suggests that businesses will need to open access to their data, allowing it to be traded and used in many spaces. The challenge lies in differentiating and deciding which data is most important and unique, ensuring valuable and proprietary data is safeguarded, and determining which data should be allowed to flow freely.
Key takeaways:
- AI advancement is leading to a shift in data management, with data being shared more broadly and organizations losing control over their data. This requires a shift from a protectionist mindset to one that encourages collaboration and use of data.
- Enterprises face several challenges with regard to their sensitive data, including understanding what data they have, determining what processes could be enhanced by AI, figuring out how to leverage their unique data, and balancing safety with utilization.
- The value of data lies in its use and collaboration. To use data effectively, security teams must understand what their data represents so they can engage with stakeholders and apply appropriate controls.
- Businesses need to get comfortable with the ever-evolving nature of their data and let their teams use it to create value. They need to open access to their data and allow it to be used in many spaces, while also ensuring that the most valuable and proprietary data is safeguarded.