In this episode of the Cybersecurity Awesomeness Podcast, Chris Steffen and Ken Buckler discuss the challenges and solutions in securing sensitive data with Sam Kumarsami from OpenText. They explore the exponential growth of data, the importance of context in data protection, and how AI can be leveraged for effective data discovery and classification. The conversation highlights the benefits of securing sensitive data, including compliance with regulations and protection from data breaches, while emphasizing the need for organizations to understand their data landscape.
Key Takeaways:
- Data is growing exponentially and is often unstructured.
- Securing sensitive data involves detecting and protecting it.
- Context is crucial in data classification and protection.
- AI can help identify and classify sensitive data effectively.
- Data that is not needed becomes a liability.
- AI can reduce false positives in data discovery.
- Protecting data helps prevent manipulation by malicious actors.
- Understanding data lifecycle management is essential.
Chapters:
00:00 Introduction to Cybersecurity Awesomeness Podcast
00:57 Challenges in Securing Sensitive Data
05:46 Leveraging AI for Data Discovery and Classification
10:01 Benefits of Securing Sensitive Data
12:47 Conclusion and Future Insights
