MY PATH INTO SECURITY ENGINEERING
I’m building toward Application & Product Security, with API and AI Application Security as technical specializations. Cloud Security and AI Governance support that path without becoming competing specializations.
Start learningWHY I’M LEARNING THIS
I want to become responsible for the security of real products, not only run tests against them. Application and Product Security are the core; API and AI Application Security are the technical niche. I’ll build practical Cloud Security and AI Governance knowledge to secure the infrastructure and manage the risks behind modern AI products.
LEVEL 1 · FOUNDATION
Networking, operating systems, and security fundamentals help me understand where application risks begin and how defenses work.
HOW DEVICES CONNECT
Understand the traffic and trust boundaries behind the web applications and APIs I want to secure.
WHAT RUNS ON DEVICES
Learn how processes, permissions, services, and logs shape the security of application infrastructure.
HOW TO REDUCE RISK
Build the risk, identity, and threat-modeling foundation I’ll apply to secure software and products.
Technologies for Level 1: operating systems, shells, networking, and Git →
LEVEL 2 · APPLICATION SECURITY
This is my first specialization step: understand web, API, and mobile application behavior and learn to prevent and investigate vulnerabilities across each client and its backend.
LEVEL 2 · WEB, API, AND MOBILE SECURITY
Understand how web and mobile clients, APIs, servers, and data fit together, then learn to prevent and safely investigate common flaws.
Technologies for Level 2: web, APIs, SQL, Android, and iOS →
LEVEL 3 · PRODUCT SECURITY
This moves me from finding individual bugs toward owning security across requirements, engineering, release, and operations.
LEVEL 3 · SECURITY ENGINEERING
Connect risk decisions, engineering practices, release gates, and operational response into a repeatable security program.
Explore security standards, frameworks, and compliance topics for this career path →
Technologies for Level 3: CI/CD, SAST/SCA, containers, and cloud →
Supporting tutorial: Cloud Security for securing application infrastructure →
LEVEL 4 · AI APPLICATION SECURITY
This is my technical niche: secure AI features and infrastructure, using red-team findings to build lasting engineering controls.
LEVEL 4 · AI SECURITY
Map trust boundaries across models, retrieved data, tools, identities, and infrastructure. Test realistic abuse paths and design layered mitigations.
Technologies for Level 4: Python, model APIs, RAG, and agent tools →
Supporting tutorial: AI Governance and Risk for lifecycle oversight →
MY CAREER DIRECTION
LONG-TERM POSITIONING
Application & Product Security, specializing in API and AI Application Security
Cloud Security and AI Governance are supporting knowledge areas—not additional specializations. Build enough depth to secure infrastructure and manage AI risk while keeping the main career focus clear.
| Area | Target depth | Role in this path |
|---|---|---|
| Application Security | Core · 5/5 | Primary specialization |
| Product Security | Core · 5/5 | Career direction: secure products across design, development, release, and operations |
| API Security | Niche · 5/5 | Technical specialization within application security |
| AI Application Security | Niche · 5/5 | Technical differentiator: secure LLM, RAG, agent, and AI-enabled product features |
| Cloud Security tutorial | Supporting · 3/5 | Enough to secure IAM, networks, storage, secrets, keys, workloads, and logs—not to specialize as a cloud engineer |
| AI Governance tutorial | Supporting · 2–3/5 | Understand risk assessment, data/vendor governance, policy, privacy, lifecycle, and compliance |
| Networking and operating systems | Foundation · 4/5 | Core technical base for understanding application and infrastructure trust boundaries |
| IAM | Cross-cutting · 4/5 | Apply identity and least privilege across applications, cloud workloads, and AI tools; connect the application and cloud perspectives |
| GRC | Supporting · 2/5 | Understand risk, evidence, and control language well enough to work with governance teams |
| SOC | Awareness · 1–2/5 | Understand logs, alerts, and incident handoffs; do not make SOC operations a specialization |
TECHNICAL PATH
Grow from product-focused application security into specialist testing and engineering for modern AI features.
OPTIONAL GOVERNANCE DIRECTION
Build from application security into AI risk, governance, and security governance if that work proves more compelling over time.
LEARN RESPONSIBLY
These lessons focus on understanding and defense. Keep exercises local, use sample data, and never scan, access, or test someone else's systems without clear authorization.