HAP Panel Specification
The Hybrid Attack Panel (HAP) Dashboard is the operational center of Phase 2.
It provides a unified, real-time view of adversarial behavior, systemic strain, and cross-domain escalation.
The Dashboard is not a prediction engine.
It is a discernment instrument — a way of revealing patterns that are already emerging across the information environment.
HAP Overview
The Hybrid Attack Panel (HAP) is the operational system of the Ardens methodology.
It consolidates multiple intelligence layers — alerts, narratives, systemic stressors, AI interpretation, and human analysis — into a single coherent dashboard.
The goal is discernment: revealing patterns that would be invisible without a multi-vector, multi-model approach.
HAP consists of five panels:
1. Real-Time Signals
2. Narrative Warfare
3. Strategic/Systemic Stress
4. AI Consensus & Divergence
5. Human Analyst Layer
Each panel contributes to the Daily Pulse and weekly summaries.
HAP is not predictive.
It exposes what is already happening in the information and geopolitical environment.
1. Purpose
HAP integrates diverse OSINT signals into a structured framework that allows analysts to:
- detect hybrid attack indicators early
- compare competing AI interpretations
- identify multi-vector convergence
- assess systemic fragility
- produce actionable daily or weekly summaries
HAP exposes systemic relationships, not isolated events.
2. Dashboard Architecture
The dashboard consists of five panels, each representing a different layer of the operational picture.
Panel A — Real-Time Signals & Alerts
High-velocity and high-confidence feeds:
- Government bulletins
- CERT/CISA/Mandiant alerts
- ACLED rapid updates
- Key verified social accounts (limited set)
- Financial or infrastructure disruptions
Outputs:
- real-time alert histogram
- region + vector tagging
- early anomaly markers
Panel B — Narrative Warfare & Influence Ops
Tracks coordinated information operations:
- disinfo clusters
- propaganda amplification
- psychological shaping attempts
- state-aligned and proxy narratives
- botnet/inauthentic activity
Outputs:
- storyline maps
- actor alignment matrix
- influence vector shifts
Panel C — Strategic & Systemic Stressors
Slow-moving but decisive forces:
- geopolitical friction
- economic pressure
- energy strain
- diplomatic escalations
- sanctions, blockades, mobilizations
Outputs:
- systemic shock score
- convergence with Panels A & B
- scenario boundaries
Panel D — AI Consensus & Divergence Layer
Integrates multi-AI analysis using the Ardens method:
- ChatGPT (Arthur)
- Gemini
- Grok
- Claude
- Copilot
Outputs:
- consensus score
- divergence signature (where models disagree)
- blind-spot identification
This panel anchors the “multi-intelligence” approach of Ardens.
Panel E — Human Analyst Layer
Human judgment moderates machine interpretation.
Analysts:
- annotate events
- flag contradictions
- contextualize anomalies
- produce HAP Daily Pulse + weekly summary
Outputs:
- escalation notes
- provenance checks
- corrective observations
3. Data Pipeline
-
Ingestion
Normalized schema applied at the moment of entry. -
Tagging
Every item receives: regionvector(cyber, kinetic, narrative, political, economic, energy, etc.)confidence-
cadence(real-time, near-real-time, daily, on-demand) -
Routing
Based on tags, items flow to Panels A–C. -
Interpretation
AI agents generate structured observations → Panel D. -
Review
Human analyst reviews → Panel E. -
Synthesis
Output surfaces on the dashboard.
4. Minimal Release Requirements
To field the first operational version:
- intake schema defined and stable
- automated ingestion for 10–20 high-value feeds
- manual input form for analysts
- basic dashboard UI (five panels)
- AI integration (sequential, not real-time)
- export options for Daily Pulse + Weekly Summary
5. Output Products
- HAP Daily Pulse — short, focused situational update
- Weekly Convergence Summary — larger systemic overview
- Systemic Shock Report — when multi-vector escalation emerges
6. Limitations
HAP avoids:
- prediction markets
- speculative modeling
- opaque black-box scoring
- velocity without provenance
The objective is clarity and discernment, not automation.
7. Relationship to the Core Agent
The Core Agent:
- performs structured interpretation
- generates cross-panel comparisons
- flags emerging convergence
It is not the dashboard.
It feeds the dashboard.