CAP-PC ENS study guide
CAP-PC ENS · Work through your exam, one topic at a time.
The Certified AppSec Practitioner (CAP) Practical Challenge is a hands-on certification exam offered through the SecOps Group's pentesting exams programme. The SecOps Group describes itself as a globally recognized IT security company with two business units, consultancy and education, and states that "through our exams, we provide an authentic and credible certification program that is up-to-date and represents real life business risks." Its exam offerings are described as "Perfect for assessing and recruiting pentesters", "Based on real-world scenarios", and "Online, on-demand and affordable". The practical challenge format is aimed at application security practitioners, penetration testers, secure code reviewers, and cloud or red team engineers who want evidence of applied skill rather than multiple-choice recall. The published domain outline weights four areas equally at 25% each: Web Application Security, Source-Code Analysis, Cloud Security Assessment, and Red Team and AI/ML Security, matching the consultancy service lines the company advertises (web application pentest, source-code analysis, cloud security assessment, red team assessment, and AI/ML pentest). The CAP-PC ENS study guide has 4 sections and about 1,683 words.
01Web Application Security
Web Application Security questions here start from observed behaviour and ask you to name the root cause and the exact missing control. Authentication, session handling, injection, request forgery and server-side request flows all appear.
425 words, about 2 min02Source-Code Analysis
Source-Code Analysis presents snippets, diffs or small repositories and asks where untrusted data lands, whether a sanitizer is sound, and which construct is actually dangerous. The skill under test is precise reading: taint path, guard placement, resolved dependency version.
396 words, about 2 min03Cloud Security Assessment
Cloud Security Assessment asks you to compute effective permissions and real reachability from configuration, then produce evidence. Typical targets are identity policy evaluation, storage exposure, network paths and audit coverage across AWS, Azure and GCP.
425 words, about 2 min04Red Team and AI/ML Security
This domain pairs adversary-emulation discipline with machine-learning attack surface. Expect questions on scoping and rules of engagement, technique mapping, operational security, and on how LLM-backed features fail when untrusted text meets over-privileged tools.
437 words, about 2 min