Rivelo provides a five-step guide to enhance data security, including identifying opportunities for convergence, redistributing resources after implementing automation, avoiding all-or-nothing propositions, safely embracing AI, and incorporating insights and analytics. He emphasizes that in today's digital landscape, a simplified and straight-line security methodology is crucial to retain customer and investor confidence and ensure future growth.
Key takeaways:
- Midsized enterprises, despite having fewer resources, face similar data security issues as industry giants and need to prioritize data security wherever data resides.
- A strategic approach to data security involves understanding people's interactions with data, continuous monitoring, visibility, classification and automated security responses calibrated to risk levels.
- Companies should consider merging data loss prevention strategies with technologies such as the cloud-based architecture called Secure Access Service Edge (SASE) to manage and enforce policy everywhere.
- Companies can effectively harness generative AI by ensuring internal operations, policies and security infrastructure are all data-first, and use cloud-based dashboards to identify the efficacy and ROI of security investments.