VectorVue Documentation

Integration, platform operations, architecture, and assurance references

VectorVue Product Roadmap: Phase 0-9

Version: v4.1 Production Ready
Last Updated: February 26, 2026
Phases Complete: 0-9 complete (client API + client portal + telemetry + analytics + compliance assurance + security federation hardening)
Total Code Lines: 30,000+ lines (platform + infra)

Executive Summary

VectorVue has evolved from a single-operator red team notebook into an enterprise-grade security validation and assurance platform. The roadmap spans 9 core delivery phases:

Federation Completion Addendum (February 27, 2026)

Completed

Upcoming

Epic: Legal Enforcement & Installation Hardening

PHASE 0: Core Foundation ✅ COMPLETE

Status: Complete Lines Added: 3,675 Tables: 15 Views: 3 Methods: 80+

PHASE 0: Core Foundation ✅ COMPLETE

💡 Thoughts: Excellent baseline; RBAC, encryption, evidence chain, and audit logging all implemented. Suggest benchmarking DB performance for future multi-team scaling.

0.1 Campaign Management

💡 Suggestion: Consider automatic campaign archiving and expiration notifications for long-term deployments.

0.2 Multi-User RBAC

💡 Suggestion: Future: finer-grained team-level RBAC may be needed (sub-leads).

0.3 Evidence Chain of Custody

💡 Thoughts: Strong integrity model; aligns with compliance requirements.

0.4 Approval Workflow

💡 Suggestion: Include automated reminders for pending approvals in future.

0.5 Activity Timeline & Audit

💡 Thoughts: Critical for compliance; consider audit log archiving strategies as DB grows.

0.6 Database Foundation

💡 Suggestion: Plan for PostgreSQL migration as multi-team workloads increase.

0.7 MITRE ATT&CK Integration

💡 Thoughts: Valuable for reporting and decision-making; could integrate MITRE ATT&CK navigator visuals in Phase 7.

0.8 UI & Theme System

💡 Suggestion: Consider color-blind friendly themes and scaling for wide terminals.

Phase 5.6 Operational Closure (Dockerized Federation Setup) ✅ COMPLETE

0.1 Campaign Management

0.2 Multi-User RBAC

0.3 Evidence Chain of Custody

0.4 Approval Workflow

0.5 Activity Timeline & Audit

0.6 Database Foundation

0.7 MITRE ATT&CK Integration

0.8 UI & Theme System

Deliverables

PHASE 1: Operational Intelligence Layer ✅ COMPLETE

Status: Complete Lines Added: 638 Tables: +8 (Total: 23) Views: 5 Methods: 20+

💡 Thoughts: Session tracking, command logs, persistence, and detection are well implemented. Performance should be monitored under heavy feed ingestion and multi-operator scenarios.

1.1 Command Execution Logging

1.2 Session Lifecycle Management

1.3 Detection Event Recording

1.4 Objective Progress Tracking

1.5 Persistence Mechanisms

1.6 Scheduled Task Persistence

1.7 Backup Session Recovery

1.8 Threat Intelligence Feeds

Deliverables

PHASE 2: Advanced Runtime Features (v3.2-v3.4) ✅ COMPLETE

Status: Complete Lines Added: 1,678 Tables: +18 (Total: 41) Views: +6 Methods: 60+ Background Tasks: 5

💡 Thoughts: Background tasks, runtime execution, webhook delivery, retention policies, anomaly detection hooks are mature. Suggest performance benchmarking and resource usage monitoring.

2a: Execution & Detection Views (v3.2)

2a.1 CommandExecutionLogView (Ctrl+E)

2a.2 SessionActivityView (Ctrl+J)

2a.3 DetectionTimelineView (Ctrl+D)

2a.4 ObjectiveProgressView (Ctrl+O)

2a.5 PersistenceInventoryView (Ctrl+P)

2b: Intelligence & Analysis Views (v3.3)

2b.1 SituationalAwarenessView (Ctrl+1)

2b.2 PostEngagementAnalysisView (Ctrl+2)

2b.3 ThreatIntelligenceView (Ctrl+3)

2b.4 RemediationTrackingView (Ctrl+4)

2b.5 CapabilityAssessmentView (Ctrl+5)

2c: Advanced Features & Runtime Execution (v3.4)

2c.1 CollaborationEngineView (Alt+1)

2c.2 TaskOrchestrationView (Alt+2)

2c.3 BehavioralAnalyticsView (Alt+3)

2c.4 IntegrationGatewayView (Alt+4)

2c.5 ComplianceReportingView (Alt+5)

2c.6 SecurityHardeningView (Alt+6)

2c.7 Background Task Execution (RuntimeExecutor)

Task Scheduler

Webhook Delivery Engine

Session Timeout Monitor

Retention Policy Scheduler

Anomaly Detection Hooks

2c.8 Seeded Defaults

Deliverables

PHASE 3: Reporting & Export Engine ✅ COMPLETE

Status: Complete Lines Added: 1,250+ Tables: 8 Views: 1 (ReportingView) Methods: 35+

💡 Thoughts: Reporting is comprehensive and enterprise-ready. Suggest versioning of templates, audit log retention strategies, and performance testing with large campaigns.

3.1 Campaign Reporting

3.2 Evidence Chain of Custody

3.3 Finding Summaries

3.4 Compliance Mapping Reports

3.5 Client Reports

3.6 Report Scheduling

3.7 Database Tables (8 new)

3.8 ReportingView UI

Key Technologies Integrated

Deliverables

Integration Points

PHASE 4: Multi-Team & Federation ✅ COMPLETE

Status: Complete Lines Added: 650+ Tables: 10 Views: 1 (TeamManagementView) Methods: 15+

💡 Thoughts: Excellent multi-team and coordination design. Ensure transactional integrity and consider concurrency tests under multiple simultaneous operator actions.

4.1 Team Management

4.2 Cross-Team Coordination

4.3 Data Sharing Policies

4.4 Operator Performance

4.5 Team Isolation

4.6 Database Tables (10 new)

4.7 TeamManagementView UI

Key Technologies Integrated

Deliverables

Integration Points

PHASE 5: Advanced Threat Intelligence ✅ COMPLETE

Status: Complete Lines Added: 650+ Tables: 8 Views: 1 (ThreatIntelligenceView) Methods: 18+

💡 Thoughts: Feed ingestion, correlation, IoCs, risk scoring are strong. Operational Cognition (Phase 5.5) is the platform’s differentiator. Need performance monitoring for attack graph recalculation and recommendation engine.

5.1 External Feed Ingestion

5.2 Threat Actor Profiles

5.3 Indicator Management

5.4 Automated Enrichment

5.5 Correlation Engine

5.6 Risk Scoring

5.7 Intelligence Archive & History

5.8 Threat Intelligence View (UI)

Key Implementation Details

Technologies Used

Deliverables

PHASE 5.5: Operational Cognition & Decision Layer 🧠 COMPLETE

Status: Complete Lines Added: 3,500 Tables: +8 Views: +4 Methods: 60+

💡 Thoughts: The “Observe → Simulate → Execute → Evaluate → Adapt” flow is innovative. Ensure explainable recommendations, performance under multi-operator scenarios, and operator onboarding support.

Core Concept

The platform stops being a passive campaign tracker and becomes an active operational advisor.

The system continuously evaluates the campaign state and guides operator decisions.

Engines

5.5.1 Attack Graph Engine

5.5.2 Objective Distance Engine

5.5.3 Action Recommendation Engine

5.5.4 Detection Pressure Engine

5.5.5 OPSEC Simulation Engine

5.5.6 Engagement Replay System

5.5.7 Cross-Campaign Memory

5.5.8 Confidence Scoring

5.5.9 Campaign Tempo Model

5.5.10 Infrastructure Burn Tracker

UI Integration (vv.py)

The UI stops being CRUD navigation and becomes a situational awareness console.

New Views

  1. Operational Dashboard View

    • Campaign health indicator
    • Detection pressure bar
    • Objective distance meter
    • Recommended next actions

  2. Attack Path View

    • Live compromise graph
    • Highlighted critical nodes
    • Dominance projection

  3. OPSEC Preview Panel

    • Pre-execution risk simulation
    • Artifact preview
    • Safer alternatives

  4. Engagement Timeline View

    • Replayable operation history
    • Defender reaction markers
    • Kill-chain reconstruction

Real-Time Operator Flow

  1. Operator opens asset
  2. Advisor shows recommended actions
  3. Operator selects action
  4. OPSEC preview appears
  5. Operator executes
  6. Detection pressure updates
  7. Attack graph recalculates
  8. Next suggestions adapt

Loop: Observe → Simulate → Execute → Evaluate → Adapt

Database Tables

Deliverables ✅ ALL COMPLETE

PHASE 5.6: PostgreSQL Migration & Container Baseline ✅ COMPLETE

Status: Complete Release: v4.1 Database: SQLite + PostgreSQL compatible

5.6.1 Database Backend Migration

5.6.2 Container Baseline

5.6.3 Operational Safety and Validation

Deliverables

PHASE 6: Deployment & Hardening ✅ COMPLETE

ETA: Q4 2026 Estimated Lines: 300-400 Tables: 0 Status: Implemented

💡 Thoughts: Critical for production readiness. Plan Docker + systemd + TLS + HSM integration carefully. Include IaC, CI/CD pipelines, and automated security validation. Begin early to avoid delays in Phase 7.

6.1 Docker Containerization

6.2 Service Management

6.3 TLS/mTLS Security

6.4 Hardware Security Module (HSM)

6.5 Air-Gap Deployment

6.6 Hardening Guide

Deliverables

🧱 PHASE 6.5: Client Isolation & Pre-Portal Preparation ✅ COMPLETE

ETA: Completed February 18, 2026 Estimated Lines: 350-500 Status: Implemented

💡 Thoughts: This phase converts the platform from an operator tool into a service platform. Goal: make Phase 7 safe and deployable per customer without redesign later.

6.5.1 Tenant Isolation Architecture

6.5.2 Per-Customer Deployment Model

6.5.3 Evidence Publishing Layer (READ-ONLY API)

6.5.4 Access Control Separation

6.5.5 Secure Exposure Gateway

6.5.6 Data Contract Stabilization

Key Technologies

Deliverables

🌐 PHASE 7 / 7.5.0: Client Portal + Usage Telemetry ✅ COMPLETE

Completed: February 18, 2026 Estimated Lines: 2,000+ Status: Complete

💡 Thoughts: Portal is customer-facing evidence viewer, not an operator console. Each customer gets its own deployment connected to its isolated backend.

Progressive rollout recommended:

  1. Read-only evidence portal
  2. Reports & tracking
  3. Analytics dashboards

7A: Client Public Read-Only API (Backend Foundation)

7B: Client Portal UI (Next.js 14)

7C: Analytics Dashboard

7.1 Read-Only Findings View

7.2 Notification & Status Updates (NOT SOC ALERTING)

7.3 Report & Evidence Downloads

7.4 Risk Scoring Dashboard (CLIENT INTERPRETABLE)

7.5 Remediation Tracking

7.5.0 Portal Usage Telemetry (Phase 8 Dataset Foundation)

7.6 Web UI Features

7.7 Deployment Model

🧠 PHASE 8 — Advanced ML / Analytics (PATCHED)

ETA: Delivered in v4.1 cycle Estimated Lines: 900–1600 Status: ✅ Commercial Differentiator Feature Delivered Infra: Async ML workers + feature store + versioned models + explainability

🏗️ 8.0 ML Platform Foundations (REQUIRED)

This is mandatory. Without it, none of the ML features are production-safe in multi-tenant SaaS.

Data Pipeline

Feature Store

Model Lifecycle / MLOps

Workers

Observability (CRITICAL)

Explainability

🧠 8.1 Offensive Cognition Models (Internal Only)

Goal: Assist red team operator decisions

Outputs:

🛡️ 8.2 Defensive Effectiveness Models (Commercial)

Goal: Sellable customer analytics

Outputs:

📈 8.3 Behavioral Anomaly Learning

Algorithms:

Outputs:

🧰 8.4 Remediation Intelligence

Outputs:

🏢 8.5 Organizational Security Analytics (Sellable Reports)

Outputs:

🔮 8.6 Predictive Intelligence

Outputs:

🧩 Technology Stack

🧾 UPDATED — PHASE 9 Continuous Compliance & Regulatory Assurance

ETA: Q2 2027 Estimated Lines: 1600–2600 Status: Enterprise / Commercial Unlock

💡 Goal: Convert operational security validation into auditable control effectiveness evidence across ISO 27001, SOC2, HIPAA and financial/health regulations.

Perfect — below is a clean consolidated Phase 9 (no duplication, no overlapping sections, consistent numbering, same style as your roadmap, checkboxes preserved, and audit-grade logic ordered correctly).

This merges your two versions into one coherent implementation roadmap.

🛡️ PHASE 9: Continuous Compliance & Regulatory Assurance ⏳ PLANNED

Status: Planned Estimated Lines: 3,500 – 5,000 Tables: ~18 new Views: 0 (Headless Engine) APIs: Compliance & Auditor API Depends On: Phase 0–8 telemetry

💡 Thoughts: Phases 0–8 generate operational security reality. Phase 9 converts that reality into auditable control effectiveness evidence for ISO 27001, SOC 2, HIPAA, Financial and Healthcare regulatory environments across US/EU/LATAM.

No new security testing features are introduced — this phase formalizes existing telemetry into defensible third-party verification artifacts.

Purpose

VectorVue continuously produces:

This enables auditors to validate compliance using platform-generated evidence rather than interviews and screenshots.

Architectural Principle

Platform Capability Compliance Meaning
Immutable evidence chain Non-repudiation
Detection tracking Monitoring controls
Attack simulation Control effectiveness
Telemetry analytics Continuous assurance
Tenant isolation Data segregation
Approval workflows Change management
Operator attribution Accountability
Timeline replay Forensic reconstruction

9.0-9.6 Implementation Status (Delivered vs Pending)

Delivered

Pending (Backlog for 9.x Enhancements)

Post-Phase 9 QA & Stabilization (Delivered)

Purpose: harden runtime behavior for commercial production use after compliance rollout.

Execution command (in containerized QA flow):

docker compose run --rm \
  -e QA_BASE_URL=http://vectorvue_app:8080 \
  -v "$(pwd):/opt/vectorvue" \
  vectorvue_app \
  python -m unittest -v \
    tests.qa_cycle.test_api_security \
    tests.qa_cycle.test_workflow_integrity \
    tests.qa_cycle.test_portal_contract

Database Additions (Implemented)

Deliverables

No UI by Design

This phase is headless. Consumed by auditors, regulators, GRC platforms, and enterprise risk tooling.

🔗 Updated Dependencies

Phase 6 → 6.5

Phase 6.5 → 7

Phase 7.5.0 → 8

Phase 8 → 9

Phase 0-8 → Generate security reality Phase 9 → Certify security reality

💰 Business Alignment Result

After Phase 7 / 7.5.0: You sell Continuous Adversary Validation Portal

After Phase 8: You sell Security Effectiveness Intelligence Platform

After Phase 9:

VectorVue no longer only tests security — it continuously proves security to third parties.

Risk Mitigation

Data Integrity Risks

Security Risks

Performance Risks

Scalability Risks

Conclusion

VectorVue has evolved from a single-operator security validation utility into a continuous security assurance platform designed for enterprise and regulated environments.

Phases 0–5.5 established the trust and cognition foundation: immutable evidence storage, normalized telemetry ingestion, detection validation, attribution, reliability measurement, and replayable investigations. The platform moved to PostgreSQL and containerized deployment, enabling deterministic and reproducible security analysis across tenants.

Phases 5.6–7.5 operationalized the system: federation trust closure, hardened deployment profiles, workflow integrations, responsibility mapping, remediation tracking, and organization-level operational visibility. VectorVue transitioned from a testing tool into a system embedded within real security operations, capable of measuring how defenses behave over time rather than at a single point.

Phase 8 transformed operational data into explainable assurance analytics. Tenant-scoped models, evidence graphs, and simulation APIs enabled organizations to quantify defensive capability, stability trends, and degradation risk using reproducible datasets rather than subjective assessments.

Phase 9 completed the platform by converting validated operational reality into regulatory assurance. VectorVue now produces cryptographically verifiable control effectiveness, continuous compliance scoring, and auditor-consumable evidence aligned with major frameworks (ISO 27001, SOC 2, HIPAA, financial regulations, and privacy regimes). Compliance is no longer documented — it is independently provable from observed behavior.

Product Position

VectorVue is not a scanner, SIEM, or GRC tracker.

It is a Security Assurance System that continuously demonstrates whether security controls function correctly and produces third-party-verifiable proof of that capability.

Organizations use VectorVue to:

Validate defensive effectiveness under adversarial conditions

Measure reliability and operational discipline

Detect security posture degradation early

Provide auditors independently verifiable evidence

Maintain continuous certification readiness

Strategic Outcome

VectorVue shifts security from trust-based assurance to evidence-based assurance.

Instead of asking organizations to prove they are secure during audits, the platform continuously builds the proof — allowing engineering, leadership, customers, and regulators to verify security posture directly from operational reality.

Current Status: Phase 9 Complete ✅ Production Ready: Yes Commercial Scope: Delivered for v4.1 security validation + analytics + continuous compliance assurance
VectorVue Roadmap Last Updated: February 26, 2026 Maintained by: Internal Engineering Team

Security Expansion Appendix: VectorVue Security Expansion Appendix SpectraStrike Integration Manual: Secure SpectraStrike ↔ VectorVue Integration