LUXORA VISION / AI SECURITY & GOVERNANCE

AI Risk Map.

A reference view of AI adoption risk, from governance and strategy to security, operations and autonomous action. We use it to scope the questions relevant to your organisation.

OVERVIEW / 12 DOMAINS55 categories · 196 active reference risk factors

Numbers beside categories show the number of active reference risk factors.

01

AI Governance & Accountability

  • Governance & oversight3
  • Roles & accountability4
  • Policy & standards4
  • Risk-management integration3
  • Audit & assurance5
5 categories19 risk factors
02

Strategy & Value Realization

  • Competitive position3
  • AI strategy & roadmap3
  • Use-case selection & sourcing3
  • Value measurement / ROI3
4 categories12 risk factors
03

Data & Privacy

  • Sourcing & provenance3
  • Quality & labeling3
  • Privacy & consent6
  • Training-data rights & IP3
  • Retention & disposal4
5 categories19 risk factors
04

Model Development & Performance

  • Design & training3
  • Accuracy & validation4
  • Robustness & drift3
  • Explainability3
  • Reproducibility & documentation3
5 categories16 risk factors
05

Security & Adversarial Threats

  • Data & pipeline attacks3
  • Model attacks3
  • Inference-time (input) attacks5
  • Output & integration security3
  • Supply-chain & artifact integrity4
  • AI access & identity5
6 categories23 risk factors
06

Safety, Ethics & Responsible AI

  • Bias & fairness4
  • Harmful / inaccurate output3
  • Transparency, disclosure & provenance4
  • Misuse & dual-use3
  • Human agency & over-reliance4
5 categories18 risk factors
07

Operations & Resilience

  • MLOps & deployment5
  • Monitoring & observability4
  • Availability & scalability3
  • Incident management4
  • Change & lifecycle management6
5 categories22 risk factors
08

Legal, Regulatory & Compliance

  • Regulatory compliance5
  • IP & liability3
  • Contractual & licensing3
  • Cross-border3
4 categories14 risk factors
09

Third-Party & Model Supply Chain

  • Foundation-model dependence3
  • Vendor due diligence4
  • Lock-in & portability3
  • Open-source component risk5
4 categories15 risk factors
10

Workforce, Human & Societal

  • Skills & talent4
  • Deskilling & loss of institutional knowledge3
  • Workforce disruption / change3
  • Societal & reputational4
4 categories14 risk factors
11

Financial & Resource

  • Cost & compute economics3
  • Investment / procurement3
  • Scaling & resource constraints2
3 categories8 risk factors
12

Autonomy & Delegated Action (Agentic AI)

  • Autonomy, alignment & oversight4
  • Tool access & authorization3
  • Memory & context integrity3
  • Multi-agent orchestration3
  • Action integrity & traceability3
5 categories16 risk factors

Reference factors for scoping an assessment. Counts are taxonomy entries, not severity scores, unique loss scenarios or client findings. Applicability is agreed for each engagement.

FROM EXPOSURE TO CAPABILITY

A map of the work.
A starting point for decisions.

Each engagement focuses on the AI uses, operating environment and responsibilities that matter to your organisation.

Understand the capabilities behind the map.

The Maturity Assessment examines what is in place, the evidence behind it and the gaps that deserve attention. The Action Plan then connects those findings to priorities and delivery.

Explore the Maturity Assessment See the AI Action Plan