The technology industry has changed a lot over the past 10 years with the move from on-prem systems to the cloud. With that came new types of challenges from a privacy and security perspective. Controlling access to data was no longer just about putting up a firewall, but you needed to know who and what was accessing the data at all times for audit purposes. Authorization models had to adapt and become flexible to support more fine-grained access.
With new challenges comes new opportunities. There's been a growth in startups focused on developing solutions that help companies address privacy and security challenges. Privacy is shifting left and becoming an engineering effort. Additionally, there's an increased interest in venture funding available to companies attacking these privacy and security challenges.
Rak Garg, Principal at Bain Capital Ventures, joins the show to discuss his prior work as a product manager working on Atlassian's data security and governance products. He also shares his thoughts on trends he's seeing in the industry as an investor interested in the data privacy and security space.
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In this episode we’re joined by Shubh Sinha, CEO and Co-founder of Integral, to discuss the protection and utilization of sensitive health data.
In this episode, we dive into the world of MLOps, the engine behind secure and reliable AI/ML deployments. MLOps focuses on the lifecycle of machine learning models, ensuring they are developed and deployed efficiently and responsibly.
In this episode, we dive deep into the world of prompt injection attacks in Large Language Models (LLMs) with the Devansh, AI Solutions Lead at SVAM. We discuss the attacks, existing vulnerabilities, real-world examples, and the strategies attackers use.