The AI in Business Podcast
Navigating Challenges and Solutions in Data Security with AI - with Dimitri Sirota of BigID
May 8, 2025
Dimitri Sirota, Co-founder and CEO of BigID, dives into the pressing issues surrounding data security in the age of AI. He highlights the growing challenges of managing unstructured data and the risks of 'shadow AI.' With the surge in cloud adoption and strict global regulations, he emphasizes the importance of understanding 'crown jewel' data for trustworthy AI. Dimitri advocates for zero-trust security models and real-time monitoring to safeguard enterprise data and ensure compliance amidst evolving threats.
29:28
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Quick takeaways
- Prioritizing data security and understanding data lineage are vital for organizations to effectively manage AI risks and ensure compliance.
- Implementing zero-trust policies and real-time monitoring is crucial for safeguarding against unauthorized access in the era of autonomous AI systems.
Deep dives
Data Security in the Era of Generative AI
Today's enterprise leaders must prioritize data security as generative AI reshapes industry landscapes. The increasing reliance on cloud technology, driven by shifts such as the COVID-19 pandemic, has resulted in sensitive data becoming more disorganized and challenging to protect. Additionally, the surge in data privacy regulations since 2018 has created complex compliance demands for organizations. With unstructured data becoming prominent in AI initiatives, organizations need to understand how to manage and secure their crucial data assets to mitigate risks effectively.
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