Learn how application security engineers reduce software risk through threat modeling, secure design, code review, API security, testing, remediation, and DevSecOps.
Application Security Engineers work across the software development lifecycle to identify and reduce security risk in applications and APIs. They combine software knowledge, threat modeling, secure code review, automated testing, vulnerability validation, developer collaboration, and production feedback instead of relying on scanners alone.
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Identify assets, trust boundaries, abuse cases, threats, and practical mitigations before release.
Evaluate authentication, authorization, input handling, sessions, and API business workflows.
Review security-sensitive code paths and explain concrete remediation to developers.
Use SAST, DAST, SCA, secret scanning, and focused manual validation appropriately.
Assess dependencies, build workflows, secrets, artifacts, and release provenance.
Help engineering teams prioritize, fix, retest, and prevent recurring vulnerabilities.
Roadmap, tools, projects and interview preparation — free for everyone.
Build web, API, authentication, authorization, programming, Git, Linux, and networking fundamentals.
Learn trust boundaries, abuse cases, OWASP guidance, and security requirements.
Practice secure review, API testing, SAST, DAST, SCA, and secret scanning.
Add appropriate controls to source, build, dependency, artifact, and release workflows.
Document findings, fixes, retests, architecture, and trade-off decisions.
Structure security requirements and application/API testing coverage.
Inspect and test web and API traffic in authorized environments.
Identify potentially insecure code patterns early in development.
Test running applications for externally observable weaknesses.
Identify vulnerable or risky third-party components.
Integrate review, scanning, approvals, and evidence into delivery workflows.
Map business workflows, architecture, data, identities, APIs, and trust boundaries.
Identify credible abuse cases and translate them into testable security requirements.
Combine code review with SAST, DAST, SCA, and secret-scanning evidence.
Reproduce findings safely, assess business impact, and remove false positives.
Support fixes, add regression checks, document evidence, and use production feedback.
A customer-facing application is approaching release with authorization, API, dependency, and software-delivery risks that must be evaluated without disrupting development.
Create a practical AppSec workflow covering threat modeling, testing, remediation, verification, and release evidence.
Assess a fictional e-commerce application from design through release using threat modeling, API authorization tests, code review, automated scans, remediation guidance, and regression verification.
Shows structured reasoning about assets, entry points, trust boundaries, and threats.
Demonstrates authorization and business-workflow testing.
Shows code-level analysis and actionable remediation.
Explains where automated checks and human decisions belong.
Shows validation through closure rather than scanner output alone.
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Build practical analyst foundations around security operations, incidents, cloud security and Security+ concepts.
Learn governance, risk, compliance, controls, AI governance and responsible-AI practices used in modern organizations.
Learn requirements, Agile, Jira, SQL, UAT and practical AI-assisted business-analysis workflows.
