Data Science for UTS
The same methods used to aggregate you can be turned around and pointed at your own exposure. What that looks like in practice, and why it goes nowhere inside an organization that does not care.
Topic
Threat Modeling
A collection of 18 issues
UTS, Digital Privacy, and Data Science
A short piece, closer to a definition than an argument. If the term UTS keeps turning up here and you want the one-paragraph version of why it matters before reading further, start with this one.
Is Your App Safe? A Simple Guide to Assessing Vulnerabilities
A friend forwards a headline about an app getting hacked and you have no idea whether it touches you. Four terms and a short set of questions that turn a scary-sounding score into a decision about your own phone.
Digital Signature Inventory
Before you decide what to hide, you have to know what you emit. Work the who, what, where and when — wallet, car, routines, accounts, biometrics — and the shape of your attribution stops being a guess.
What to protect?
You cannot defend a list you have never written down. Driver's license, bank, inbox, location history — each one says something specific about you, and the first job is knowing exactly what.
Privacy Fatigue
You have to get it right every day. A hunter only has to be right once. That asymmetry wears people down, and the research says it is exhaustion, not indifference, that makes them stop trying.
Privacy meet Security
Three questions, in order, before any tool or setting: what are you protecting, how long does it need to hold, and what data gives it away. Everything else on this site builds on those three.
Spark Forge is live!
The first post on the site, kept as the record of where this started. Two sentences of intent, no technical content, and a fair statement of what the rest of the archive is for.