The publication standard
Training for connected security work.
AI security does not stop at a model boundary. Learn through focused modules that connect the system, the controls, and the evidence. Every lesson centers on work a practitioner can test and explain.
By Rob T. Lee, creator of the SIFT Workstation. Page updated .
Our launch platform
Start on Skool.
Build what comes next.
We are launching on Skool to get the training into your hands without waiting for custom software.
Skool brings course content and community into one place. Open Classroom for released courses and modules. Use Community to ask questions and discuss what you are learning.
You will need a Skool account to join sicurity.ai. Course access depends on module releases and your membership.
We will move to a custom sicurity.ai platform.
Launch destination: skool.com/sicurity. Enrollment opens with the first modules.
From outline
to accountable work.
A practitioner defines the outline and learning goals.
AI may help create lecture material, labs, and assessment items.
The practitioner reviews the content and runs every lab.
The author records AI use, model version, verification, and date.
The signed record is published alongside the module.
The human record
Accountability, attached.
- Module / version
- Available with first release
- Practitioner / author
- Named on each module
- AI contribution
- AI-assisted components disclosed
- Model / version
- Recorded for each use
- Verified by hand
- Lab runs and review record
- Sign-off / date
- Practitioner signature required
Illustrative record structure. Not a signed or published module.
Learn in modules.
Practice in context.
Two to four hours per module, combining instruction, labs, and assessments. New modules ship every week from launch; each author ships every two weeks.
Labs run in your own environment or a browser container we provide. Each module states setup requirements and potential costs. Practice exams support preparation, not a promise of certification.
Choose a track ↗