← The programme Week 11 · 2 sessions

Ignite at scale I: secure, compliant, continuous

SESSION 01 · TUESDAY

Security, privacy and safety at scale

Threat-model your product, defend your AI feature against prompt injection, handle personal data with care and take test payments.

Start session → Present slides

You will be able to

Build a threat model with Adam Shostack’s four questions and rank what could go wrong
Explain prompt injection and apply five layered defences to your AI feature or internal tool
Write a privacy notice and list the questions a data-protection specialist must answer
Decide what your logs record, so they help you debug without leaking personal data
Take a test-mode payment through hosted checkout, fulfilled once by a verified webhook

OUTPUT · Threat model + injection tests + privacy notice + test-mode payments

SESSION 02 · THURSDAY

Ship continuously and scale on evidence

Every change takes the same checked path: tests and evals in CI, a review, then a staged rollout you can undo in seconds.

Start session → Present slides

You will be able to

Set up continuous delivery: branch, pull request, CI, review, deploy
Run tests and evals on every pull request, with branch protection blocking a failing merge
Put Claude in the pipeline: @claude reviews and Claude Code in GitHub Actions
Build a dashboard for errors, speed, AI quality and cost, with alerts that name an owner
Plan a staged rollout behind a feature flag (5%, 25%, 100%) with a rehearsed rollback

OUTPUT · CI pipeline + dashboard + staged rollout plan in product/11-operations.md

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