ai · security · skills

Track 2 · Skill mastery

Score the skills you practice.One seat per function.

9–26 Mythos-style prompts per function practitioner (plus optional AI Security Engineer): four concrete rungs from initial to optimum, then fitted skills from your gaps. Same underlying controls as the org diagnostic. Self-assessed; nothing saved.

Nine skills personalities

Identity Security practitioner

Access lifecycle, privileged access, and non-human identity for AI systems.

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Network & Infrastructure Security practitioner

Segmentation, edge, and infrastructure hardening around AI.

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Endpoint & Workload Security practitioner

EDR, UEM, and workload posture where AI runs or is used.

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Application & DevSecAIOps Security practitioner

SDLC, AppSec, and model-build assurance in the pipeline.

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Data Security practitioner

Classification, DLP, encryption, and training-data hygiene.

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Cloud & Container Security practitioner

CSPM, containers, clusters, and cloud change control.

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Security Operations practitioner

Monitoring, IR, threat intel, and vuln management for AI.

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Governance, Risk & Assurance practitioner

Policy, audit, supply chain, continuity, and people security.

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AI Security Engineer · optional

Secure the model, attack it first, contain the agent — specialist seat.

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Org maturity for the same eight functions stays on /maturity. Leadership, compliance, and literacy doors are not skills personalities.

Sample mastery reports

See a finished personal reading before you start.

Nine skills personalities across the same four fictional organisations as the maturity samples. Each report is derived through the live mastery scorer.

InitechEarly days · honest starting point

Illustrative sample data, never client results.