Data security is increasingly vital for enterprise success, particularly as agentic AI scales. Faulty data classification and unregulated access pose significant risks, revealing a misconception among organizations regarding the accuracy of manual data labeling. Ronan Murphy, chief data strategy officer of Forcepoint LLC, emphasizes that while companies believe their labeled data is correct, about 30% of classifications are inaccurate, leading to dire consequences such as data breaches or loss of intellectual property.
Effective data governance must precede any AI deployment to safeguard enterprise assets, addressing risks associated with data at rest, in motion, and in use. As various sectors rush to adopt AI, the urgency to establish solid data foundations grows. Companies prioritizing data accuracy will not only mitigate risks but also enhance their AI initiatives, leading to improved ROI. Leveraging proper data governance is essential for a safe and scalable AI strategy.
Explore more in the complete video interview from the RSAC 2026 Conference.
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