Data Security and AI: How to get them on the same page with Jesse Sedler
Apr 4, 2024
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Jesse Sedler discusses balancing data security and AI implementation. Topics include physical and online security measures, building trust within data security teams, challenges in legacy systems, privacy-enhancing technologies, and expert advice on incorporating empathy and recommended resources.
Data inventory and labeling are crucial for managing sensitive information and enabling data security.
Legacy systems like mainframes pose unique security challenges, requiring innovative AI solutions for data protection.
Empathy is key in navigating data and security challenges, emphasizing collaboration for value creation and shifting to a proactive approach.
Deep dives
The Importance of Data Inventory and Labeling
Understanding the value of data inventory and labeling is crucial, particularly in managing sensitive information. By cataloging and labeling data sets, organizations can control access and ensure data security. This process enables the identification of valuable data, streamlining decision-making, and enhancing data protection measures.
Challenges in Securing Legacy Systems and Unstructured Data
Legacy systems like mainframes pose unique security challenges due to the vast amounts of historical data stored within them. The cultural reluctance to modernize these systems adds complexity to maintaining security standards. Unstructured data, such as chats, emails, and images, further complicates security efforts, requiring innovative AI solutions to identify and safeguard sensitive information.
The Endurance of Mainframes and the Future of AI Security
Despite ongoing discussions about transitioning away from mainframes, the reliance on these systems, especially in critical industries like finance and payment processing, remains steadfast. While advancements in cloud technology offer alternatives, the intricate and secure nature of mainframe operations hinders rapid migration. AI is emerging as a pivotal tool to enhance security and data management within legacy systems, addressing challenges associated with data volume and complex security needs.
Security and Empathy in Data Handling
The conversation highlights the importance of empathy in data and security, emphasizing that understanding each other's perspectives is crucial in navigating challenges effectively. It stresses the need for collaboration between security and data teams early in projects to create value for the business. The discussion underscores the culture of security as sometimes being perceived as a barrier, requiring a shift towards a proactive approach and taking inventory to equip for secure and agile operations.
Privacy Enhancing Technologies and Future Applications
The podcast delves into the emerging landscape of privacy-enhancing technologies like homomorphic encryption and differential privacy, suggesting increasing adoption within the next few years. The conversation explores opportunities for enterprises to leverage these technologies to securely handle data sharing and analytics, providing new insights into business models and societal benefits. It anticipates the regulatory landscape to play a crucial role in accelerating adoption and transforming technology into valuable tools for secure, privacy-aware data practices.
Data governance and security may be scary and hard, but with the right solutions in place, data teams can enable the right balance between security and usability to drive their businesses forward!
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