Blog
Notes from the research
Essays drawn from What Breaks Next interviews with the people deploying, securing and governing enterprise AI.
October 23, 2026
Stop Scaring Wildlife. Start Talking to It.
Airports spend millions keeping animals off runways, and animals learn to ignore every scare tactic. Sara Nozkova of Flox Intelligence on decoding animal communication, why generic AI fails in the field, and tiny edge models that decide in under two seconds with no cloud.
October 22, 2026
Your Employees’ AI Agents Are Already Inside Your Data
Personal AI agents have quietly become the biggest hole in enterprise security. Dustin Allen of Trinitite on why MDM and DLP can’t see them, how 10% of employees can leak most of a company’s data, and why zero trust now has to cover agents.
October 16, 2026
The Agent Is the New Perimeter: What Breaks Next in AI Agent Security
Enterprises are putting AI agents into production faster than they can secure them. Matan Bar-Efrat of Rein Security on watching agents from the inside, why one policy for every agent fails, and moving from the alert to the fix.
October 13, 2026
The AI Bottleneck Nobody Talks About Starts With a Single Crystal
Everyone talks about GPUs and power. Cameron Khorsandi of Bucket Labs explains why the real bottleneck may be the crystal growth process that comes before every chip.
October 6, 2026
Why AI Guardrails Don’t Eliminate Business Risk
A NIST researcher’s “insecurity proof” shows AI systems stay vulnerable whatever guardrails you add. The useful question for leaders is how much risk remains — and whether it’s worth carrying.
October 6, 2026
AI Agents Are Changing the Economics of Cybersecurity
AI makes old vulnerabilities exploitable and gives unskilled attackers nation-state reach, while defenders carry costs attackers ignore. Nobody has a finished model of the new economics yet. Here are the questions it has to answer.
October 6, 2026
Who Owns AI Risk? Moving from Periodic Reviews to Real-Time Governance
When agents act at machine speed, quarterly reviews and a human approving every step both stop working. NIST’s Apostol Vassilev on accountability, continuous monitoring, escalation, and the staffing it will take.