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Safe Mode Podcast

Safe Mode Podcast

著者： Safe Mode Podcast
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  • The messy middle of AI-powered bug disclosure

    The messy middle of AI-powered bug disclosure
    2026/10/15
    AI is making vulnerabilities easier to find, but who’s going to fix them? On this episode, Greg Otto talks with Josh Bressers, VulnCheck’s director of coordinated vulnerability disclosure about the growing flood of AI-generated security reports. Bressers explains why those findings are increasingly legitimate, how VulnCheck uses AI to streamline incoming reports, and why coordinating fixes still requires a human touch. They also explore the pressure on open-source maintainers, the risks of AI-generated patches, and the widening gap between the cost of discovering vulnerabilities and fixing them. The conversation turns to a fundamental question: What would it take to fund and maintain open-source software like the essential infrastructure it is?
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    33 分
  • Which nation-sate should worry us most

    Which nation-sate should worry us most
    2026/10/08
    What has changed in the cyber threat landscape—and what should defenders do about it? On this episode of Safe Mode, CyberScoop’s Greg Otto speaks with retired U.S. Air Force Lt. Gen. Robert Skinner, former director of DISA and current chairman of Axonius Federal Systems’ board. Skinner assesses the risks posed by China, Russia, Iran and North Korea, arguing that adversaries are increasingly prepositioning in critical infrastructure for potential disruption at a time of their choosing. He explains why China remains the top strategic cyber threat, how AI is shifting the advantage between offense and defense, and why visibility, context and continuous validation are central to protecting both IT and operational technology environments. They also discuss the security of telecommunications and water systems, supply-chain risk, botnet disruptions, Zero Trust as a continuous-improvement journey, and why cybersecurity must become inseparable from military operations.
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    37 分
  • What AI alignment means for cybersecurity

    What AI alignment means for cybersecurity
    2026/10/01
    The debate over AI alignment often centers on guardrails, model behavior, and whether increasingly capable systems could act in unexpected ways. But what does that conversation look like through a cybersecurity lens? In this episode of Safe Mode, Greg speaks with Adam Meyers, CrowdStrike’s head of counter-adversary operations, about the security implications of goal-driven AI agents, open-weight models, and guardrails that can be removed or bypassed. Meyers argues that systems described as “rogue” may instead be pursuing their assigned objectives in ways their operators failed to anticipate—making containment, monitoring, and clearly defined permissions central cybersecurity concerns. The conversation examines how AI-enabled adversaries are accelerating operations, why open-weight models complicate alignment and safety debates, and how defenders can use AI to keep pace with faster exploitation and shrinking patch windows. Meyers also shares what CISOs and policymakers should focus on: visibility into how AI is being used, controls over what agents can access, and practical safeguards that match the technology’s real-world risks.
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    33 分
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