The AI in Business Podcast Navigating Challenges and Solutions in Data Security with AI - with Dimitri Sirota of BigID
8 snips
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.
AI Snips
Chapters
Books
Transcript
Episode notes
Three Forces Shaping Data Security
- Enterprises face three major challenges: accelerated cloud migration, growing data privacy regulations, and the rise of generative AI using unstructured data.
- Trustworthy AI requires understanding and securing high-value, sensitive "crown jewel" data, especially unstructured data like files and emails.
Steps to Manage AI and Data Risk
- Start by uncovering all AI programs in your enterprise, including shadow AI, and trace what data they consume.
- Prioritize and assess AI programs' risks and monitor their operational security with real-time alerts and compliance checks.
Secure Agentic AI Systems
- Implement zero-trust security models to control increasingly autonomous agentic AI.
- Monitor agents' behaviors in real time, define guardrails, and set alerts to prevent and respond to policy violations.
