HF API token security: protect credentials, prompts, and actions
Keep credentials out of browsers, narrow permissions, minimize logs, and require authorization before models act.
JOURNAL / TOPIC TAG
Safety & security.
Make the authority boundary visible
These articles examine different forms of control: model-selection requirements, research review, order-state handling, credential permissions, and tool authorization. A good boundary is enforced by the surrounding application rather than left to a generated promise to be careful. Read the examples as design starting points and adapt them to the actual data, users, and risks involved. They are not security certifications, regulatory approvals, or guarantees that an application is safe.
Explore the topic hubRelated field notes
4 guides
AI trading research: build a workflow you can challenge
Use models for bounded research while preserving evidence, point-in-time data, testing discipline, and review.
How to choose HF models for a production-minded application
Turn model cards, task requirements, licensing review, and evaluation fixtures into a defensible shortlist.
HFT API architecture: keep research outside the execution path
Explore market-data freshness, pre-trade controls, order state, reconciliation, and independent stop mechanisms.