Security and Privacy in the Enterprise with Skyflow’s Sam Sternberg

Partially Redacted: Data, AI, Security, and Privacy

Sam Sternberg, Customer Programs Lead at Skyflow, joins the show to discuss the world of privacy and security at scale within large enterprises. We explore the complex infrastructure, regulatory challenges, and evolving technologies that these giants face in protecting customer and employee data. From managing expansive data infrastructures and international privacy regulations to securing data in the cloud, both multi-cloud and hybrid cloud and harnessing AI, we provide insights and best practices for safeguarding sensitive information.

Check out the episode to delve into the technology and people-centric approaches to privacy and security within the data landscape of large organizations.
Topics:

• When we’re talking about a large enterprise, can you paint a picture for what the infrastructure of these companies might look like? How many databases, servers, and people are involved?
• What are the fundamental differences between data management in small to medium-sized businesses and large enterprise organizations, especially concerning security and privacy?
• How does the scale and complexity of data infrastructure in large companies impact their ability to maintain data privacy and security effectively?
• What are the main regulatory frameworks that enterprise companies must navigate, and how do these impact data management strategies?
• Large enterprises often have extensive data lakes and warehouses. How can these organizations ensure the confidentiality, integrity, and availability of their data in such environments?
• With the increasing adoption of cloud services, how should large enterprises approach cloud security and privacy concerns, especially in multi-cloud or hybrid cloud environments?
• Could you share some best practices for securely managing customer and employee data, considering the unique challenges faced by big companies in this regard?
• How has the adoption of artificial intelligence and machine learning impacted data security and privacy practices in large organizations, and what precautions should they take when implementing these technologies?
• Many large enterprises operate globally. How does managing security and privacy requirements across different countries and regions impact their strategies and challenges?
• What emerging trends or technologies do you foresee having a significant impact on data security and privacy in large enterprises in the near future?