Sample consultancy report
Globex: Cloud & Container Security
Where AI has moved into this function, whether the controls kept up, and the one move that earns the next rung. Read in five minutes; decided in one meeting.
- Prepared on
- The aisecurityskills function diagnostic
- Basis
- Cloud Security Alliance (CSA) AI Controls Matrix (AICM) · AI Security Maturity Model (AISMM) × AI Cyber Maturity Model (AI-CMM)
- Evidence state
- Illustrative · fictional organisation
- Issued
- 18 Jul 2026
The verdict
Governance ahead of adoption: change process and cloud baselines exist, but drift detection is absent and most container workflows stay human-run.
Globex's cloud and container security function reads at L2.3 governance against L1.3 autonomy: an industrial posture where the gate is open because adoption has not outrun the evidence. Organization Management reaches Defined on a written change process and a maintained configuration baseline. Infrastructure and Governance stay at Repeatable: image hardening and workload isolation are only partial, and named supervision of AI-driven cloud changes is unfinished. What caps the climb is absent automated drift detection. CSPM remediation runs assisted; container image scans, cluster admission policy, and change-and-config review remain largely manual — governance must close those gaps before autonomy claims another rung.
Governance
L2.3
AI Security Maturity Model (AISMM) · how well it is secured
Autonomy
L1.3
AI Cyber Maturity Model (AI-CMM) · how far AI has gone
The gate
Open
margin +0.8 · autonomy inside what governance allows
Where this function stands
The whole method in one drawing. Governance runs across, autonomy runs up, and the staircase is the gate: each governance level earned is the autonomy an organisation may responsibly claim.
What was measured
Two ladders, one instrument. Each answer maps to a Cloud Security Alliance AI Controls Matrix (AICM) control; a category claims a level only when that tier is evidenced, and an absent control caps it. The same rule scores every live run.
How well it is secured
L2.3
The CSA AI Security Maturity Model (AISMM): every answer maps to an AI Controls Matrix (AICM) control, and a level is claimed only when the tier is evidenced.
How far AI has gone
L1.3
The AI Cyber Maturity Model (AI-CMM): where the human sits in each workflow — in, on, then over the loop. our model · calibrated to SAE J3016.
Held below the next tier: CCC-07 absent
Held below the next tier: tier 3 not yet evidenced
Held below the next tier: tier 3 not yet evidenced
Findings
Three, ranked, classified by what leadership does with each: act on a priority, protect a strength, and hold a deliberate choice.
- 01Priority
Drift detection is absent while isolation and hardening stay partial
Organization Management caps at Defined because automated drift detection across the AI cloud estate is absent. Infrastructure Security stays at Repeatable because image and container hardening and workload isolation are only partial. Those gaps are the board priority: without them, Capable evidence cannot be claimed even though change process and network lockdown already run.
The exact control ids (for your security and governance, risk and compliance team)
CCC-07 · I&S-04 · I&S-06
- 02Strength
Change process and configuration baseline reach Defined
A documented change-management process covers AI systems and cloud configuration, default-deny networking locks down AI workloads, and a known-good configuration baseline is maintained across the estate. Cloud engineers are trained on acceptable use. That floor is what keeps governance ahead of the still-manual adopt average.
The exact control ids (for your security and governance, risk and compliance team)
CCC-01 · I&S-03 · CCC-06 · HRS-15
- 03By design
Most cloud workflows stay human while Defined evidence finishes
CSPM remediation runs assisted; container image scans, cluster admission policy, and change-and-config review stay manual on purpose. Change authorization before go-live is only partial, and named human supervision of AI-driven cloud decisions is unfinished. That restraint is what keeps the gate open with positive margin.
The exact control ids (for your security and governance, risk and compliance team)
CCC-04 · GRC-15 · HRS-15
The climb
Direction, not a how-to: the next rung, and the governance that must move before autonomy does.
- Next quarter
Stand up automated drift detection against the approved AI cloud baseline and enforce isolation of AI workloads so Organization Management and Infrastructure Security can evidence the next rung.
- Two quarters
Enforce the hardening baseline on AI images and containers, close the change-authorization partial, and name accountable supervision for AI-driven cloud changes so Capable evidence matches the autonomy CSPM is ready to claim.
- Continuous
Hold the change-management process and configuration baseline through each estate change; re-run the diagnostic before lifting image-scan or admission-policy workflows another autonomy rung.
About this instrument
What a reader should carry out of the room: how the diagnostic works, how progress is tracked, and what the practice is for.
One questionnaire, two reads
Every answer maps to a Cloud Security Alliance AI Controls Matrix (AICM) control. Read one way, the answers grade the function: governance versus autonomy, joined by the gate. Read the other way, the same answers name the skills each person in the function must acquire. Diagnosis and reskilling from one sitting.
Tracked, not judged
The first run is a baseline, never a verdict. Re-assess after the work and the radar overlays the previous run, so leadership sees movement, not a grade. The compatible-standard packs (ISO/IEC, the National Institute of Standards and Technology, and the CSA AI Consensus Assessments Initiative Questionnaire) are lenses on the same answers: assess once, report many ways.
Direction, not a solution
AI is a moving target, so the report names the next rung and the governance that must move first — never a vendor stack or a how-to. The gate keeps the climb honest: autonomy is claimed only after the controls that catch it are in place.