Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

On this episode of Masters of Data, we dig into what we're calling the tokenpocalypse, the real cost of running AI at the scale most of us have quietly slid into. We trace the whiplash of the past two years, from "everyone needs the AI hammer" to backlash against obvious AI slop, then get into the harder question of what happens when a mission-critical process runs out of tokens, from chaining Claude to Databricks for a custom dashboard to the eye-watering budget Uber reportedly burned through by April.

This week’s briefing covers: Dive deeper.

Secrets migrated from private repos to developer endpoints. Attackers no longer hack access. They log in with stolen credentials and move laterally. Dan Nguyen-Huu, Partner at Decibel Partners, explains what the shift means for defenders and where innovation is headed. "The endpoint is largely going to become one of the big new battlegrounds. I think there's also going to be new innovation on the endpoint as it pertains to new companies, maybe trying to think about DLP in a different way.".

Watch Joey Melo, Principal Security Researcher at CrowdStrike, take on AI Unlocked: Agents of Chaos and see how he approaches the challenges, manipulates autonomous AI agents and works his way through the game. Now it’s your turn. All three acts are open, with increasingly difficult challenges waiting. Put your skills to the test, climb the global leaderboard and compete for a share of up to $100,000 in cash prizes.*

HIPAA compliance becomes considerably more complicated when a stolen healthcare laptop may contain patient information. Keeping protected health information away from local storage changes the consequences of device theft and reduces the endpoint’s exposure.

AI changed who can build. Employees across the business can now create workflows – apps, agents, and automations, faster than ever before. The result is a growing wave of “wild code”: AI-generated software, automations, and agents that solve real business problems but exist outside traditional governance, operational ownership, and support models. For IT, this creates a new challenge. How do you empower teams to move quickly without creating more risk, complexity, and technical debt? How do you support innovation without opening the door to shadow AI, data leakage, and unmanaged systems?