A Realistic Threat Model for Ordinary People
Security advice often protects against threats that will never materialize for you. A real threat model starts from the threats you actually face.
Security advice often protects against threats that will never materialize for you. A real threat model starts from the threats you actually face.
A model that works in development sometimes costs ten times as much to run in production. Here is where the money actually goes and how to estimate before you commit.
The difference between an agent and a chatbot is not semantic. It is architectural. Agents can take action; chatbots cannot. That changes what problems they solve.
Most organisations have no written rules about what people can do with AI. That is fine until someone uploads confidential information to a public system. Here is the minimum you need.
AI systems confidently produce false information. This is not a bug that will be fixed. It is architectural. Here is how to design systems that work despite it.
The techniques that make AI produce better output are identical to the techniques that make writing clear to humans. No special ritual required.
Edge computing is not a replacement for centralised cloud. It is a different set of trade-offs that pays off for a specific class of workload — and creates real problems for everything else.
Spec sheets are designed to sell laptops, not to help you choose one. This framework works backwards from what you actually do to what you actually need.
Generating thousands of pages from a database can build enormous organic traffic or trigger a manual penalty. The difference comes down to one question about your data.
Passkeys replace passwords with cryptographic keys that cannot be phished, guessed, or stolen in a database breach. Here is how they work and what to do about the awkward edge cases.