Assessing the True Costs of DIY Data Classification vs. Purchasing Solutions

Accurate data classification forms the backbone of a robust data security strategy. It's essential for DLP, identity security, privacy compliance, and AI governance. In today’s complex landscape of cloud environments and diverse data types, ensuring accurate classification is increasingly challenging for enterprises. Join Technical Data & AI Evangelist Joe Tustin on June 10th to gain critical insights into this pressing issue. Key Takeaways:

• The true cost of classification debt: understanding maintenance requirements for accuracy at scale.
• Limitations of homegrown solutions: why they overlook crucial proprietary and unstructured data.
• AI risks in unclassified data: implications for governance and potential exposure.
• Clarity in decision-making: leveraging purpose-built classification for comprehensive visibility into sensitive data.