Comparisons of how penetration tests are scoped and run: against red teaming, internal and external viewpoints, authenticated access, network and application layers, manual and automated work, production and staging, audits, risk assessments and who performs the test.
Comparisons of adversary simulation and exercise formats: red, purple and threat-led red teaming, breach and attack simulation, tabletop and cyber range exercises, phishing simulations, and the regulator-led TIBER-EU and CBEST schemes.
Comparisons of application security testing methods: SAST, DAST, IAST, SCA, SBOMs, manual code review, fuzzing, threat modeling, ASVS verification, API testing and mobile app assessments, measured against NIST SP 800-53 SA-11, NIST SSDF and OWASP guidance.
Comparisons of how security testing is bought and run over time: penetration testing as a service, bug bounties, vulnerability disclosure programs and external attack surface monitoring, set against scheduled penetration tests.
Comparisons of ways to test AI systems: AI red teaming, LLM application penetration testing, automated and human-led adversarial testing, agentic AI testing and AI risk assessment, against the OWASP GenAI Top 10 lists, MITRE ATLAS, NIST AI 600-1 and the EU AI Act.
Comparisons of testing approaches for infrastructure targets: cloud configuration reviews against cloud penetration tests, Active Directory assessments against internal tests, wireless scanning against wireless testing, and passive against active testing in operational technology.
Comparisons of the scoring systems and catalogs used to rank vulnerability scan and penetration test findings: CVSS versions, EPSS, the CISA KEV catalog and SSVC decision trees.
Comparisons of the published methodologies and adversary models that structure a security test: NIST SP 800-115, PTES, OSSTMM, OWASP WSTG, MITRE ATT&CK and the Cyber Kill Chain.