Build practical safeguards for reviewing, scanning, prompting, and governing code produced by AI coding assistants
Explain how AI-generated changes move from an IDE or agent through a repository and continuous integration into production, and identify where verification is required.
Analyze AI-written diffs for injection, hard-coded secrets, insecure defaults, and hallucinated dependencies by estimating blast radius and matching each issue to an enforcing control.
Apply a repeatable review procedure that checks authorization, input handling, cryptography, and error handling while producing concrete change requests.
Interpret SAST, software composition analysis, and secret-scanning results, then set tuning, merge-blocking, and ownership rules that turn findings into fixes.
Construct prompts with threats, constraints, and refusal criteria while distinguishing assistant guidance from deterministic checks in code and continuous integration.
Define an enforceable policy covering approved tools, data boundaries, disclosure, traceability, agent privilege, and required repository gates.
3 sections · 6 lessons
Trace how AI-generated changes cross trust boundaries and examine recurring weaknesses such as injection, exposed secrets, insecure defaults, and dependency hallucinations.
2 lessonsApply disciplined pull-request review and configure automated scanning gates that verify security assumptions, block critical results, and assign ownership for remediation.
2 lessonsBuild secure prompting constraints and define team governance for AI assistants, including approved tools, data boundaries, traceability, least privilege, and required controls.
2 lessonsAI-generated code crosses trust boundaries from development tools into repositories, continuous integration, and production, so it must remain untrusted until verified. This course helps developers identify recurring security weaknesses, examine AI-written changes, apply automated gates, and establish controls that make verification part of everyday development. You will leave with practical methods for assessing risk, demanding secure output, and governing AI coding tools across a team.
The course covers trust boundaries, injection and command composition, hard-coded secrets, insecure defaults, dependency hallucinations, pull-request review, SAST, software composition analysis, secret scanning, secure prompting, and team governance. It also addresses merge-blocking policies, ownership routing, data boundaries, agent privilege, traceability, and repository controls.
From project managers and operators to founders, analysts, and teams adopting AI, Fenzo is for people who want to get better at the work they already do.
Anything from using AI for project planning and analysis to improving workflows, decision-making, communication, and delivery. If you can describe the skill or task, Fenzo can build a course around it.
Yes. Tell Fenzo what you do, what you’re trying to accomplish, and where you’re stuck, and Fenzo will shape the course around your role, your goals, and the work you actually have to do.
No. Fenzo adapts to your starting point, so you can begin with the fundamentals or jump straight into more advanced work.
Yes. Fenzo for Business puts the whole team on one plan — shared seats, courses you can assign, and reporting on who has finished what.
See Fenzo for BusinessYou start by describing your goal or taking a short skill benchmark. Fenzo uses that context to identify gaps and shape the learning experience around them.
Yes, Fenzo works in your mobile browser.
Something to operate in every section.
Three findings from decades of learning research shaped how every Fenzo lesson is built.
Average pass rate · Freeman et al., PNAS 2014
What the science says
Students in lecture-only classes are 1.5× more likely to fail.
How Fenzo does it
Every Fenzo lesson is interactive. No passive reading or watching, ever.
You work through itAI does it for you
Skill retention over time · with vs. without practice
What the science says
Offloading thinking to AI erodes the very skills you’re trying to build.
How Fenzo does it
Fenzo makes you do the thinking — guided, but never done for you.
Retrieval practiceRe-reading
Long-term recall · retrieval vs. re-reading
What the science says
Recalling information beats re-reading it for building durable understanding.
How Fenzo does it
Lessons weave in quizzes and recall prompts, so it sticks.