What you learn
- Threat modelling that decides where security effort actually goes
- Identity and access engineered for least privilege in practice
- Applications and infrastructure hardened against real attack classes
- Detections built against the techniques attackers actually use
What you will understand
- Defence in depth designed rather than accumulated
- Crown jewels analysis, because protecting everything equally protects nothing
- Injection defended by parameterisation rather than by sanitising strings
- The false-positive economy, where a noisy detection destroys a good one
How you will practice
- Model the threats to a real system and defend which risks you chose to accept
- Harden a vulnerable application, then attack it yourself to prove the defence holds
- Write detections against specific techniques and validate them by simulated attack
What you will build
- A hardened system with each defence proven by attempted exploitation
- A detection set with its technique coverage mapped and its gaps stated honestly
The proof you build
Evidence that you can build controls that hold when attacked, placed where the real risk is, and prove it rather than assert it.
Your work is observed with your consent, scored for independence and assistance, and turned into proof that carries a confidence level. The career path can reach a high-assurance credential, anchored by a scored capstone.
What is not live yet
The desktop app, consent-based observation, scoring, and credentials are in development. Nothing here implies they are live yet.
Get early access