Data Protection Gumbo

259: The Hidden Vulnerabilities in Enterprise Browsers - SquareX

Vivek Ramachandran, the visionary founder of SquareX shares the origins of SquareX, highlighting how it aims to mitigate last-mile attacks by embedding security directly within the browser. The discussion delves deep into the importance of browser security in today's enterprise environments, addressing common threats such as ransomware, phishing, and the impact of generative AI on cyber attacks.

258: AI Governance Essentials: How to Establish a Program from the Ground Up - Relyance AI

Leila Golchehreh, Co-Founder and Chief Strategy Officer at Relyance AI delved into AI governance, the importance of data integrity, and best practices for integrating AI technologies securely. Leila shared her journey and vision for creating a company that bridges the gap between privacy and technology, emphasizing the need for continuous monitoring and a thorough understanding of the technology stack.

257: From Wall Street to Your Fridge: The Databases You Didn’t Know Existed - Faircom

Mike Bowers, Chief Architect at Faircom dives into the intricacies of database technology and its real-world applications. Mike shares insights on Faircom’s role in critical systems such as the U.S. stock market, FAA flight tracking, and even the International Space Station. We explore the evolution of data management, the impact of IoT, and the future of AI and machine learning in databases.

256: From Tapes to Terabytes: The Great Storage Shift - JetStor

Gene Leyzarovich, Founder at JetStor shares insights on the evolution of data storage from tapes and magnetic disks to modern flash and hybrid systems. We discuss the significant impact of the Broadcom and VMware acquisition on licensing costs, prompting many organizations to explore alternatives like Proxmox and Hyper-V.

255: Navigating the AI Minefield: Best Practices for Data Governance - Polymer

Yasser Ali, CEO of Polymer Data Security discusses data security amidst the rise of AI and machine learning, highlighting the increasing complexity of managing data integrity and risks in AI governance. The discussion shifts to AI governance, where Yasser outlines the primary risks, including data leakage, model biases, and the challenge of deep fakes. He also emphasizes the need for robust data classification and the use of tools to prevent misuse of information within AI models.