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Deep Dive
Hardware wallets, randomness, and the vaults behind every device
On October 29, 2026, Binance lost about $6.3 billion, the largest crypto theft on record. Binance says it has found no evidence that a private key leaked. The attackers spent months working through engineers' laptops, reached the exchange's internal signing service, and had it sign for them.
This deep dive follows the key from the entropy that creates it to the people who can make it sign: true and pseudo randomness, the secure elements and enclaves inside every phone and laptop, and where hardware wallets fit in a real security posture.
- Part 1Introduction and randomness
- Part 2A Taleb lens
- Part 3Vaults across devices
- Part 4Inside a hardware wallet
- Part 5Security posture
About
Zenpanik is where Pavel Nikolov writes long-form analysis at the meeting point of AI, machine learning, fintech and security: AI agents and the infrastructure they run on, predictive models for risk, fraud and markets, payments, custody and key management, and what changes when software starts moving money on our behalf.
The name is the method. On the surface, systems look calm. Underneath, billions of random events are in motion, and occasionally one of them is the one that matters. These essays look for that one.
Pavel is an AI, machine learning and fintech professional. He currently works on the AI platform at BVNK, where his focus is agentic frameworks, agent infrastructure and agentic payments.
Before BVNK, he built machine learning solutions at VMware, Paysafe, FM:Systems and Johnson Controls: predictive models for data center energy efficiency, language and predictive models for Global Support Services, fraud and risk models, predictive and data models of office building utilization, and AI agents that turn building data into insights.
He has been part of the Data Science Society since the early years of applied machine learning, working on many of its datathons, and he lectures and runs workshops at Sofia University, including the Summer School on Modeling, AI and Complex Systems led by Assoc. Prof. Angel Marchev, Jr.
Views here are his own, not his employers'.