Safe Mode Podcast

Safe Mode Podcast

Podcast by Safe Mode Podcast

  1. 4d ago

    A builder's view of the AI arms race

    It's been a wild six weeks for frontier AI models — Mythos launched, got yanked offline by the Department of Commerce over export controls, and came back online with new guardrails, all while Five Eyes agencies warned that AI is months away from reshaping the threat landscape. This week on Safe Mode, Greg Otto talks with Armadin's David Slater, who is building directly on top of these frontier models, creating a platform integrating AI into cybersecurity offense and defense. The two dig into what it was actually like watching America's leading models go dark just as Chinese models — namely GLM 5.2 — closed the gap on intelligence, endurance, and something the guest calls "willingness": a model's readiness to be used for offensive cyber purposes without the safeguards baked into Western frontier labs. The conversation covers why export controls and "kill switches" on U.S. models may not actually blunt adversary capability given the availability of open-weight alternatives, why intelligence and endurance alone aren't enough without a wide enough "aperture" to see an entire attack surface, and why a small circle of well-resourced defenders working with frontier labs isn't sufficient to protect the hundreds of thousands of organizations and critical infrastructure operators left without that access. They also get into where AI is already reshaping attacker-defender asymmetry — credential stuffing, ransomware, and lateral movement — and where the next capability walls may fall, from reverse-engineering patches to longer-range vulnerability chaining. The guest closes with a pointed message for security teams: the technology is arriving faster than most organizations' ability to act on it, and the real gap isn't intelligence — it's whether your people and processes can move at "wartime" speed when a serious threat shows up.

    A builder's view of the AI arms race
  2. Jun 18

    Zero days, zero order: The chaos reshaping vulnerability disclosure

    The rules of responsible disclosure were written for a different era — one where humans found bugs, humans reported them, and 90 days felt like plenty of time to patch. That era is over. In this episode, Greg sits down with Gal Elbaz, co-founder and CTO of Oligo Security, to unpack how AI-assisted vulnerability research is breaking the frameworks the security industry has relied on for decades. From MITRE admitting it can no longer keep up with the volume of CVE reports, to Linus Torvalds saying the same about the Linux kernel, the cracks in the system are impossible to ignore. Gal draws on his years as a hands-on researcher at Check Point — and his current work leading Oligo's research team — to offer perspective from both sides of the disclosure table. He and Greg dig into the Microsoft controversy, the tension between researcher leverage and community responsibility, and why the Spider-Man rule applies more than ever to the security research community right now. They also tackle the big questions: Should disclosure timelines be based on exploitability rather than a fixed number of days? Who owns the decision to accelerate a disclosure? And is it time to throw out CVSS scores and build something new? Gal's bottom line: the noise needs to be cut, the critical bugs need better definition, and both vendors and researchers need to get back to the table — as humans. For our reporter chat, Greg talked with Derek Johnson about the reaction to the Trump administration's fight with Anthropic.

    Zero days, zero order: The chaos reshaping vulnerability disclosure

Ratings & Reviews

4.9
out of 5
8 Ratings

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Podcast by Safe Mode Podcast

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