Security Visionaries

Netskope

Security Visionaries is a podcast all about the world of cyber, data, and tech infrastructure, bringing together experts from around the world and across domains. In each episode, your hosts Emily Wearmouth, Bailey Popp and Max Havey dig into the hot topics and burning questions that are preoccupying industry conversations.

  1. Sep 29

    Architecting Amid Regulations in Finance

    Key topicsDoes regulation shape cloud architecture from the start, or get applied after the fact?What percentage of enterprise cloud spend goes to waste? How does a hybrid estate complicate zero trust and entitlement management?Where is AI actually useful inside a regulated architecture team?What happens when you stop letting an AI assistant simply agree with you?Regulation comes first. Seb's team only builds on cloud services that have already cleared a rigorous compliance review, then designs around what's approved rather than retrofitting compliance onto a finished architecture. That same discipline covers data and AI sovereignty: jurisdiction, data center location, and backup zones are core to the design, not overhead bolted on afterward. On cost: roughly 30% of all cloud spend is waste, according to Seb, mostly from over-provisioning rather than unused services. His team runs an annual OKR specifically to find and cut that waste. On AI: Seb treats it as a second opinion, not a replacement for his team. He uses it to pressure-test architecture documents, prompt for edge cases, and even diagnose a broken home CCTV system from raw log files. Emily and Seb also compare notes on what changes when you stop letting an AI assistant simply agree with you, after Emily's own experiment asking Claude to drop the sycophancy and get blunt. The throughline: in a heavily regulated environment, guardrails and good architecture patterns move faster than ad hoc decisions, and the same discipline that keeps regulators satisfied is what makes room for AI experimentation without losing control.

    Architecting Amid Regulations in Finance
  2. Aug 12

    Why Netskope Let AI Hack Its Own Software

    On the latest episode of Security Visionaries, host Emily Wearmouth sits down with Mohit Kulamkolly, senior engineer on Netskope’s security red team, for a candid look at what happens when you point frontier AI models at your own product’s code. Mohit draws on his team’s research (using Claude Mythos and ChatGPT 5.5), explains what a memory corruption bug actually is, and why it remains one of the hardest and most dangerous flaws to find. From building isolated sandbox labs that let AI agents hunt for crashes, to a second experiment where the AI got more control and its findings were checked by a completely separate AI, Mohit walks through two very different ways of putting these models to work. The discussion explores why you can never just trust a model’s claim that it found a bug, how sub agents kept the hunt moving for days without giving up, and why AI is even more useful earlier, threat modeling a product before it’s built, than after the fact.   Mohit and Emily also tackle what this means for security teams that don’t have frontier model access yet, and why finding thousands of vulnerabilities is only half the job without a real remediation plan. This episode’s bottom line? AI is changing vulnerability research at every level, and the security teams that get ahead of it will be the ones that give it the right tools early.   Blogs:https://www.netskope.com/blog/teaching-openai-5-5-to-hunt-memory-corruption-bugs https://www.netskope.com/blog/when-mythos-owns-the-loop-self-verifying-vulnerability-research

    Why Netskope Let AI Hack Its Own Software

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About

Security Visionaries is a podcast all about the world of cyber, data, and tech infrastructure, bringing together experts from around the world and across domains. In each episode, your hosts Emily Wearmouth, Bailey Popp and Max Havey dig into the hot topics and burning questions that are preoccupying industry conversations.

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