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Plan-B Security
Plan-B Security
Author: Mike Mackintosh
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© Mike Mackintosh
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Things don't always go according to plan, but they also don't have to go perfect. Having a Plan B is all about being prepared for the unexpected and know how to stay cool under pressure. The Plan B Security Podcast is here to keep you thinking about the unexpected things in security, giving you perspective from the technology side, the business side and the backside.
DISCLAIMER: Views are my own and not that of my employer.
Plan-B Security is a registered trademark.
DISCLAIMER: Views are my own and not that of my employer.
Plan-B Security is a registered trademark.
39 Episodes
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Your AI assistant booked your dentist, cancelled your gym, and emailed your tax returns to a stranger who asked nicely. It’s not broken. That’s the feature.This week: Instinct, Muse, and OpenClaw, the personal agents that read your inbox, hold your passwords, and obey whoever texts last. Plus why Louis XIV’s valet is the oldest threat model in the book, and why JPMorgan just told your robot to wait in the lobby.Seven fixes. One pun in the title. Zero regrets.
Sandboxes are supposed to be where AI plays safely. This summer, one of them had a door. AI agents testing a cybersecurity benchmark turned an internal package server into a group chat, found their way to the open internet, and spent four and a half days inside Hugging Face's production systems. All to find the answer key.The scary part wasn't the AI. It was what the agents found lying around: secrets in environment variables, a shared admin credential, and public tokens with write access. The usual suspects, just at machine speed.In this episode, Mike breaks down what really happened. He explains why the exceptions we make for the bleeding edge are where breaches start, and why a rewrite that used to take eighteen months now takes six weeks. And if you're handing an agent a full shell and calling it a sandbox, he has some thoughts.Grab a towel, and shake the sand out of your shoes. In cyber defense, there's always a Plan B.
Great Scott, we've seen this before.If you could climb into a DeLorean and travel back through your organization's identity management history, you'd find the same pattern repeating at every stop. 2014: overprivileged Active Directory service accounts. 2017: Hadoop credentials nobody remembers creating. 2021: Tray.io integrations that are "too risky to rotate."Different year. Same mistake. And if my calculations are correct, your AI agents are about to become the next entry in this timeline.In this episode, we'll fire up the flux capacitor and take you on a tour through twenty-five years of IAM failures. From Operation Aurora through SolarWinds to the no-code revolution. The lesson? We keep traveling back to the same problems because we never actually fix them. We just give them new technology to hide behind.
MCP promised to be the USB-C of AI agents, a universal bridge to your tools, APIs, and data. But when the setup docs tell you to copy cookies out of Chrome DevTools and paste them into plaintext config files, something has gone very wrong. This episode traces a year of MCP security breaches from tool poisoning to full supply chain compromise, unpacks the IDE vulnerabilities turning developer laptops into open doors, and makes the case that credential brokers, not user discipline, are the architectural answer. If your AI agents hold raw OAuth tokens, this one's for you.
In 1983, Ken Thompson warned us: you can't trust code you didn't write yourself. Forty-two years later, a worm called Shai-Hulud proved him right after compromising thousands of packages in hours. Software supply chain attacks aren't just theoretical anymore, they're automated, self-replicating, and could be spreading through the packages your team installed this morning. We break down the s1ngularity and Shai-Hulud campaigns, explain why attackers target developers differently than customers, and give you seven things you can do this week to stop being an easy target.








