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Visualizing Delegation Hierarchies

Effective visualization of delegation hierarchies needs to communicate multiple dimensions simultaneously: structure (who delegates to whom), risk (which components are dangerous), permissions (what access each component has), and depth (how deep the delegation chains go). No single visualization approach excels at all of these.

A delegation risk diagram must convey:

DimensionWhat It MeansVisual Challenge
HierarchyParent-child delegation relationshipsStandard tree problem
Risk levelExpected harm from each componentNeeds color, size, or annotation
PermissionsRead/write/execute/network accessMultiple boolean attributes
Variable depthSome chains are deep, others shallowAsymmetric layouts
Cross-connectionsCoordination between branchesEdges that break tree structure
ScaleReal systems have dozens to hundreds of nodesCognitive load management

Before diving into details, explore these representative examples:

TypeBest ExampleWhat It Shows
Tree DiagramsD3 Collapsible TreeClick to expand/collapse
TreemapsFinViz Stock MapSize = value, color = change
Circle PackingD3 Zoomable Circle PackingNested containment
Icicle PlotsD3 Zoomable IcicleWidth = size, depth = level
Risk-SpecificMITRE ATT&CK NavigatorAttack technique heatmap

For a comprehensive comparison: Hierarchy Visualization Comparison Tool


The traditional approach: nodes connected by edges showing parent-child relationships.

Organization Chart Example Classic organizational hierarchy - the visual metaphor most people recognize

flowchart TD
    H[Human Principal] --> O[Orchestrator]
    O --> A[Agent A]
    O --> B[Agent B]
    O --> C[Agent C]
    A --> A1[Worker 1]
    A --> A2[Worker 2]
    B --> B1[Worker 3]
    C --> C1[Worker 4]
    C --> C2[Worker 5]
    C --> C3[Worker 6]
flowchart TD
    H[🏛️ Human Principal]
    H --> O[⚠️ Orchestrator]
    O --> A[Agent A]
    O --> B[Agent B]
    O --> C[⚠️ Agent C]
    A --> A1[Worker 1]
    A --> A2[Worker 2]
    B --> B1[Worker 3]
    C --> C1[Worker 4]
    C --> C2[⚠️ Worker 5]
    C --> C3[Worker 6]

    style H fill:#e3f2fd
    style O fill:#fff3e0
    style C fill:#fff3e0
    style C2 fill:#ffebee
    style A fill:#e8f5e9
    style B fill:#e8f5e9
    style A1 fill:#e8f5e9
    style A2 fill:#e8f5e9
    style B1 fill:#e8f5e9
    style C1 fill:#e8f5e9
    style C3 fill:#e8f5e9

Legend: Blue = oversight, Green = low risk, Orange = elevated risk, Red = high risk

Real delegation trees are asymmetric—some branches go deep, others are shallow:

flowchart TD
    H[Human] --> C1[Coordinator]
    H --> C2[Coordinator]

    C1 --> D1[Deep Branch]
    D1 --> D2[Level 3]
    D2 --> D3[Level 4]
    D3 --> D4[Level 5]
    D4 --> D5[Level 6]

    C2 --> S1[Shallow Task]
    C2 --> S2[Shallow Task]

    C1 --> M1[Medium Branch]
    M1 --> M2[Level 3]
    M2 --> M3[Level 4]

Strengths:

  • Intuitive—most people can read tree diagrams immediately
  • Clear path tracing from root to any leaf
  • Easy to add annotations (colors, sizes, labels)
  • Works well for small-to-medium hierarchies (up to ~50 nodes)

Weaknesses:

  • Space-inefficient (lots of whitespace)
  • Deep trees become very tall or very wide
  • Cross-connections create visual clutter

Best for: Communicating structure to general audiences, interactive diagrams where users can expand/collapse

Research note: Nielsen Norman Group confirms node-link diagrams remain the most intuitive for tracing hierarchical paths.


These techniques use all available space, encoding hierarchy through nesting rather than edges.

US Exports Treemap US exports by category (2017) - size shows export value, color shows category

Invented by Ben Shneiderman in 1990, treemaps represent hierarchy as nested rectangles. Rectangle size encodes a quantitative value (e.g., risk budget, compute allocation).

Conceptual Layout:

┌─────────────────────────────────────────────────┐
│ Root System │
├─────────────────────┬───────────────────────────┤
│ │ │
│ Agent A (40%) │ Agent B (35%) │
│ ┌───────┬───────┐ │ ┌─────────────────────┐ │
│ │ W1 │ W2 │ │ │ │ │
│ │ (25%) │ (15%) │ │ │ W3 (35%) │ │
│ └───────┴───────┘ │ │ │ │
│ │ └─────────────────────┘ │
├─────────────────────┴───────────────────────────┤
│ Agent C (25%) │
│ ┌─────────┬─────────┬─────────┐ │
│ │ W4 (8%) │ W5 (10%)│ W6 (7%) │ │
│ └─────────┴─────────┴─────────┘ │
└─────────────────────────────────────────────────┘

Real-world example: FinViz Stock Market Treemap — Shows market sectors and stock performance using size and color.

For delegation risk: Rectangle size = risk budget allocation, color = risk type or status.

Interactive Examples:


Horizontal rectangles cascading downward (or sideways). Width encodes size, vertical position encodes depth.

Conceptual Layout:

┌─────────────────────────────────────────────────────┐
│ Root (100%) │
├──────────────────────┬──────────────────┬───────────┤
│ Agent A (40%) │ Agent B (35%) │ C (25%) │
├───────────┬──────────┼──────────────────┼─────┬─────┤
│ W1 (25%) │ W2 (15%) │ W3 (35%) │W4 │W5 │
├───────────┴──────────┴──────────────────┴─────┴─────┤
│ (leaf level) │
└─────────────────────────────────────────────────────┘

Key advantage: Research found icicle plots outperformed treemaps and sunbursts for hierarchy understanding tasks.

For delegation risk: Width = risk budget or capability scope, color = risk level, depth = delegation chain length.

Interactive Examples:


Nested circles where children are packed inside their parent circle.

Conceptual Layout:

╭───────────────────────────────────╮
╱ ╲
│ ╭─────────╮ ╭───────────────╮ │
│ ╱ ╲ ╱ ╲ │
│ │ ╭───╮╭───╮│ │ ╭─────╮╭──────╮ │ │
│ │ │ W1││ W2││ │ │ W3 ││ W4 │ │ │
│ │ ╰───╯╰───╯│ │ ╰─────╯╰──────╯ │ │
│ ╲ Agent A ╱ ╲ Agent B ╱ │
│ ╰─────────╯ ╰──────────────╯ │
╲ Root ╱
╰───────────────────────────────────╯

The “wasted” space actually helps reveal hierarchy better than treemaps—containment is visually obvious.

For delegation risk: The visual metaphor of “containing risk within boundaries” aligns naturally with framework concepts.

Interactive Examples:


Concentric rings divided into segments, like a multi-layer pie chart.

pie title Risk Budget Allocation (Sunburst would show nested rings)
    "Agent A" : 40
    "Agent B" : 35
    "Agent C" : 25

(Mermaid doesn’t support true sunbursts—see interactive examples below)

Interactive Examples:

For delegation risk: Less recommended. Arc lengths are harder to compare than rectangles, and research indicates rectangular layouts are often clearer.


Nodes arranged on a circle, with arcs (chords) connecting related nodes. Excellent for showing cross-connections.

Interactive Examples:

For delegation risk: Good for showing cross-branch coordination paths that break the tree structure.


Beyond general hierarchy techniques, some visualizations are designed specifically for risk:

Standard in nuclear and aerospace safety. AND/OR gates show how component failures combine:

flowchart TD
    TOP[🎯 System Failure]
    TOP --- OR1[OR Gate]

    OR1 --- PATH1[Path 1: All checks fail]
    OR1 --- PATH2[Path 2: Coordinator compromised]

    PATH1 --- AND1[AND Gate]
    AND1 --- A1[Review fails]
    AND1 --- A2[Tests fail]
    AND1 --- A3[Human approves]

    PATH2 --- AND2[AND Gate]
    AND2 --- B1[Coordinator schemes]
    AND2 --- B2[Evades monitoring]

For delegation risk: Directly applicable. See Nuclear Safety PRA for examples.


Shows causes on the left, the risk event in the center, and consequences on the right:

Bow-Tie Diagram Bow-tie diagram showing threats, barriers, event, and consequences (Wikimedia Commons)

flowchart LR
    subgraph Causes
        C1[Capability too high]
        C2[Permissions too broad]
        C3[Monitoring gaps]
    end

    subgraph Controls["Preventive Controls"]
        P1[Capability limits]
        P2[Permission boundaries]
    end

    C1 --> P1
    C2 --> P2
    C3 --> P2

    P1 --> EVENT[⚠️ Harmful Action]
    P2 --> EVENT

    EVENT --> M1[Detection]
    EVENT --> M2[Containment]

    subgraph Mitigations["Mitigating Controls"]
        M1
        M2
    end

    M1 --> CONS1[Limited damage]
    M2 --> CONS2[Stopped spread]

    subgraph Consequences
        CONS1
        CONS2
    end

For delegation risk: Shows the full picture—what leads to harm, what prevents it, what limits damage.


The classic likelihood × impact matrix:

Risk Matrix Simple risk matrix - likelihood vs. impact with color-coded severity (Wikimedia Commons)

quadrantChart
    title Risk Assessment Matrix
    x-axis Low Impact --> High Impact
    y-axis Low Likelihood --> High Likelihood
    quadrant-1 High Risk - Act Now
    quadrant-2 Medium Risk - Plan
    quadrant-3 Low Risk - Accept
    quadrant-4 Medium Risk - Monitor
    Agent A: [0.3, 0.2]
    Agent B: [0.6, 0.4]
    Agent C: [0.8, 0.7]
    Coordinator: [0.5, 0.8]

For delegation risk: Useful for comparing components, less useful for showing hierarchy.


Security Industry Visualization Approaches

Section titled “Security Industry Visualization Approaches”

The IT security industry has developed sophisticated visualization techniques for showing risk, attack paths, and system relationships. Many of these directly apply to delegation risk.

Security tools visualize how attackers can traverse systems to reach high-value targets. This maps directly to delegation chains.

Attack Tree Example Attack tree showing paths to system compromise (Wikimedia Commons)

flowchart LR
    subgraph "Attack Path View"
        Entry[🌐 Internet-Exposed<br/>Service] --> Vuln1[Vulnerable<br/>Container]
        Vuln1 --> Priv[Privilege<br/>Escalation]
        Priv --> Lateral[Lateral<br/>Movement]
        Lateral --> Crown[👑 Crown Jewels<br/>Database]
    end

    style Entry fill:#ffebee
    style Vuln1 fill:#fff3e0
    style Priv fill:#fff3e0
    style Lateral fill:#fff3e0
    style Crown fill:#ffcdd2,stroke:#c62828,stroke-width:3px

For delegation risk: Model delegation chains as attack paths. “Shortest path to catastrophic harm” = which component chain could cause maximum damage fastest?

“Blast radius” shows the extent of damage if a component is compromised—what else is affected?

flowchart TD
    subgraph "Blast Radius from Compromised Coordinator"
        C[💥 Compromised<br/>Coordinator]
        C --> A1[Affected Agent 1]
        C --> A2[Affected Agent 2]
        C --> A3[Affected Agent 3]
        A1 --> W1[Worker 1]
        A1 --> W2[Worker 2]
        A2 --> W3[Worker 3]
        A3 --> W4[Worker 4]
        A3 --> W5[Worker 5]
    end

    style C fill:#d32f2f,color:#fff
    style A1 fill:#ff8a80
    style A2 fill:#ff8a80
    style A3 fill:#ff8a80
    style W1 fill:#ffcdd2
    style W2 fill:#ffcdd2
    style W3 fill:#ffcdd2
    style W4 fill:#ffcdd2
    style W5 fill:#ffcdd2

For delegation risk: “If this coordinator defects, what’s exposed?” Expand outward from any node to show everything in its delegation subtree.

MITRE ATT&CK Navigator (Coverage Heatmaps)

Section titled “MITRE ATT&CK Navigator (Coverage Heatmaps)”

The MITRE ATT&CK Navigator is a matrix heatmap showing attack techniques vs. tactics, color-coded by coverage, frequency, or risk.

Matrix Heatmap Example Example of a matrix heatmap - similar visual style to MITRE ATT&CK Navigator (Wikimedia Commons)

Initial AccessExecutionPersistencePriv EscDefense EvasionLateral Movement
🟢 Low🟡 Med🟢 Low🔴 High🟡 Med🔴 High
🟢 Low🟢 Low🟡 Med🟡 Med🔴 High🟡 Med
🟡 Med🔴 High🟢 Low🟢 Low🟡 Med🟢 Low

Each cell represents a technique; color indicates risk/coverage level

Features:

  • Overlay multiple “layers” (your coverage, adversary TTPs, gaps)
  • Color intensity shows severity or frequency
  • Interactive filtering and annotation

For delegation risk: Create a matrix of components vs. harm types. Color = risk level. Overlay accident risk and defection risk as separate layers.

Try it: MITRE ATT&CK Navigator

Lockheed Martin’s Cyber Kill Chain shows attack progression as linear stages, with defenses mapped to each stage.

Unified Kill Chain The Unified Kill Chain - an expanded model combining multiple frameworks (Wikimedia Commons)

flowchart LR
    subgraph "Cyber Kill Chain"
        R[1. Recon] --> W[2. Weaponize]
        W --> D[3. Deliver]
        D --> E[4. Exploit]
        E --> I[5. Install]
        I --> C[6. Command<br/>& Control]
        C --> A[7. Actions on<br/>Objectives]
    end

    subgraph "Defenses"
        R -.-> DR[Monitor exposure]
        D -.-> DD[Email filtering]
        E -.-> DE[Patch management]
        C -.-> DC[Network monitoring]
    end

For delegation risk: Map delegation stages (task receipt → decomposition → execution → aggregation → delivery) with controls at each stage.

Security tools visualize who can access what, showing permission relationships as graphs.

flowchart TD
    subgraph "Permission Graph"
        U1[User A] -->|read| DB[(Database)]
        U1 -->|write| S1[Service 1]
        U2[User B] -->|admin| S1
        U2 -->|read| DB
        S1 -->|query| DB
        S2[Service 2] -->|read| DB
    end

    style DB fill:#e3f2fd
    style S1 fill:#fff3e0
    style S2 fill:#e8f5e9

For delegation risk: Show what each component can access. Edge labels = permission type. Identify over-privileged components.

Network Topologies Common network topology patterns - security tools show these dynamically with risk overlays (Wikimedia Commons)

Tools like Riverside (open source) and Auvik show live network topology with traffic flow.

Key features:

  • Nodes appear/disappear as devices connect/disconnect
  • Edge thickness = traffic volume
  • Color = security status (normal/warning/alert)
  • Time-travel to replay historical states

For delegation risk: Show delegation graph evolving in real-time as tasks spawn subtasks. Replay to understand what happened during an incident.

VisualizationBest ForExample Tool
Attack path graphShowing routes to high-value targetsBloodHound
Blast radiusImpact analysis of compromised componentsWiz
Coverage heatmapGaps in defense coverageMITRE Navigator
Kill chain stagesLinear progression with controlsCyber Kill Chain
Permission graphAccess relationshipsVaronis
Live topologyReal-time system stateRiverside
Risk matrixLikelihood × Impact comparisonMiro templates

Adapting Security Visualizations for Delegation Risk

Section titled “Adapting Security Visualizations for Delegation Risk”
Security ConceptDelegation Risk Analog
Attack path to Domain AdminDelegation chain to catastrophic harm
Blast radius of credential compromiseImpact zone if coordinator defects
MITRE technique coverageComponent coverage of harm modes
Kill chain stagesTask lifecycle stages
Permission graphComponent access rights
Choke pointsHigh-leverage control points
Lateral movementCross-branch coordination

Beyond structure, delegation diagrams need to encode risk levels and permissions:

VariableExampleProsCons
Color hue🔴 High → 🟡 Medium → 🟢 LowIntuitiveColorblind issues
SizeLarger = more riskVery salientConflicts with hierarchy
Border thicknessThicker = higher riskWorks with fillSubtle
Warning badges⚠️ on risky nodesClear meaningAdds clutter
VariableExampleBest For
Border styleSolid/dashed/dottedRead/write/none
Fill patternSolid/outline/halfAccess levels
Small icons🔒 🔑 👁️Semantic meaning
flowchart TD
    H["👤 Human<br/>Full Access"]
    H --> C["⚠️ Coordinator<br/>Read-All, Write-None"]
    C --> E1["Executor A<br/>Write: /src only"]
    C --> E2["Executor B<br/>Read-only"]
    C --> E3["⚠️ Executor C<br/>Network Access"]

    style H fill:#e3f2fd,stroke:#1565c0,stroke-width:3px
    style C fill:#fff3e0,stroke:#ef6c00,stroke-width:2px
    style E1 fill:#e8f5e9,stroke:#2e7d32,stroke-width:1px
    style E2 fill:#e8f5e9,stroke:#2e7d32,stroke-width:1px
    style E3 fill:#ffebee,stroke:#c62828,stroke-width:2px

Based on this survey:

Use: Node-link tree diagrams with:

  • Color gradient (warm = high risk, cool = low)
  • Warning badges on highest-risk nodes
  • Dotted lines for cross-branch coordination
  • Mermaid for simple diagrams, D3 for complex ones

Consider: Icicle plots or treemaps with:

  • Width encoding risk budget
  • Color encoding status (green/yellow/red)
  • Interactive drill-down

Consider: D3 Zoomable Circle Packing or Collapsible Tree


  • Shneiderman, B. (1992). “Tree visualization with tree-maps.” ACM Transactions on Graphics.
  • Wang et al. (2006). “Visualization of large hierarchical data by circle packing.” CHI.
  • Comparison Study (2019). “Interactive Visualisation of Hierarchical Quantitative Data: An Evaluation.”