Operation Foresight

Phase 0: Research Phase Sequence

On This Page
🛡️ Phase 0 Research Output

Research Phase Sequence

Date: 2025-04-23

Research Context

This document defines the structured sequence of research phases that will guide the systematic investigation of cybersecurity threats and AI governance risks throughout Operation Foresight.

Task ID: phase_001

Objective

Define a structured sequence of research phases based on MCP logic primitives to guide the systematic investigation of cybersecurity threats and AI governance risks.

Logic Process Framework

This phase sequence applies the Strategic Planning (Define → Infer → Synthesize) primitive chain for high-level organization, while embedding specific primitive combinations within each phase.

Phase 0: Initialization & Planning

Purpose

Create the context, structure the plan, and define mission scope.

Primary Logic Primitives

  • define → Establish project parameters and boundaries
  • sequence → Create temporal and logical phase mapping
  • reflect → Identify potential blindspots before beginning

Key Tasks

  1. define_project_scope → Establish boundaries and expectations ✓
  2. define_threat_typologies → Create taxonomic framework for threats ✓
  3. sequence_research_phases → Map the investigation flow ✓
  4. reflect_on_known_blindspots → Preemptively identify gaps

Transition Criteria

  • Scope document approved
  • Threat typology framework defined
  • Research phases sequence established
  • Initial boomerang state established

Output Artifacts

Phase 1: Observation & Signal Filtering

Purpose

Collect raw intelligence, web signals, and primary data about emerging threats and governance issues.

Primary Logic Primitives

  • observe → Gather raw intelligence without distortion
  • distinguish → Separate signal from noise using criteria
  • reflect → Consider potential blindspots in observation

Key Tasks

  1. observe_recent_ai_threats → Raw data collection on new vulnerabilities, attack vectors, LLM exploits
  2. observe_governance_failures → Capture governance events, legal shifts, policy reversals
  3. distinguish_critical_events → Filter observations based on significance criteria
  4. reflect_on_observation_gaps → Identify potential observation blindspots

Process Combinations

  • Initial Curiosity (Observe)
  • Information Filtering (Observe → Reflect → Define)
  • Anomaly Detection (Observe → Reflect → Infer)

Transition Criteria

  • Minimum threshold of observations collected
  • Critical signals identified and filtered
  • Observation matrix populated with raw data
  • Initial SCM triggers documented

Output Artifacts

Phase 2: Definition & Classification

Purpose

Build structured definitions and typologies from raw observations.

Primary Logic Primitives

  • define → Establish precise boundaries and characteristics
  • distinguish → Identify categorical differences
  • compare → Evaluate similarities and differences

Key Tasks

  1. define_threat_vector_profiles → Assign scope, actors, means, motives
  2. define_governance_models → Map regulatory forms (centralized, distributed, absent)
  3. compare_state_responses → Evaluate geopolitical governance divergences
  4. distinguish_public_vs_private → Identify control asymmetries

Process Combinations

  • Conceptual Mapping (Define → Synthesize → Reflect)
  • Comparative Analysis (Observe → Define → Reflect → Infer → Synthesize)
  • Contextual Understanding (Observe → Reflect → Define)

Transition Criteria

  • Complete set of threat vector profiles
  • Governance model taxonomy defined
  • Comparative analysis of regulatory approaches complete
  • Classification system validated

Output Artifacts

Phase 3: Inference & Reflection

Purpose

Generate predictions, identify patterns, and evaluate second-order effects.

Primary Logic Primitives

  • infer → Draw conclusions and predictions from evidence
  • reflect → Evaluate the quality and completeness of inferences
  • ask → Identify areas where additional information is needed

Key Tasks

  1. infer_second_order_effects → Predict cascading impacts of threats
  2. infer_regulation_effectiveness → Assess likely outcomes of governance approaches
  3. reflect_on_framework_gaps → Identify weaknesses in current models
  4. infer_interaction_patterns → Predict how threats and governance interact

Process Combinations

  • Future Projection (Define → Infer → Reflect → Infer → Synthesize)
  • Hypothesis Testing (Define → Observe → Infer → Reflect)
  • Risk Evaluation (Define → Reflect → Infer)

Transition Criteria

  • Second-order effects mapped
  • Governance effectiveness predictions documented
  • Framework gap analysis complete
  • Interaction pattern matrix populated

Output Artifacts

Phase 4: Synthesis & Output Generation

Purpose

Integrate all findings into coherent narrative and decision-grade artifacts.

Primary Logic Primitives

  • synthesize → Merge multiple findings into coherent whole
  • decide → Make determinations about priorities and recommendations
  • sequence → Order findings and recommendations logically

Key Tasks

  1. synthesize_report_outline → Organize into introduction, threat chapters, governance review
  2. generate_threat_matrix → Create crosswalk of threats vs. governance gaps
  3. create_visual_maps → Develop actor networks, timelines, etc.
  4. sequence_recommendations → Order recommendations by priority and dependency

Process Combinations

  • Synthesizing Complexity (Observe → Define → Infer → Reflect → Synthesize)
  • Prioritization (Observe → Define → Reflect → Synthesize)
  • Narrative Construction (Define → Infer → Synthesize)

Transition Criteria

  • Complete draft report generated
  • Threat matrix visualization created
  • Visual maps and diagrams produced
  • Recommendations sequenced and prioritized

Output Artifacts

Phase 5: Adaptation & Finalization

Purpose

Review, revise, and refine report based on feedback and new information.

Primary Logic Primitives

  • adapt → Modify output based on new information or feedback
  • reflect → Consider the completeness and quality of final outputs
  • decide → Make final determinations about report content

Key Tasks

  1. reflect_on_report_completeness → Assess coverage and logical integrity
  2. adapt_based_on_scm_insights → Incorporate Strategic Curiosity Mode findings
  3. decide_output_format → Determine final presentation formats
  4. adapt_for_audience → Tailor language and detail level for target audience

Process Combinations

  • Strategic Adjustment (Reflect → Observe → Define → Infer → Synthesize)
  • Critical Review (Observe → Reflect → Synthesize)
  • Decision Validation (Infer → Reflect → Observe)

Transition Criteria

  • Comprehensive review completed
  • SCM insights integrated
  • Output formats finalized
  • Audience adaptation complete

Output Artifacts

Strategic Curiosity Mode (SCM)

Trigger

During any phase when gaps, anomalies, or overlooked patterns appear.

Primary Logic Primitives

  • ask → Formulate questions about unexplored angles
  • observe → Gather additional data on anomalous patterns
  • infer → Generate hypotheses about unexplained phenomena
  • synthesize → Create speculative models or explanations

Key SCM Tasks

  1. identify_scm_trigger → Document what caused SCM activation
  2. explore_speculative_vector → Investigate anomaly or gap
  3. synthesize_scm_insight → Create hypothesis or explanation
  4. decide_integration_approach → Determine how to incorporate insight

Process Combinations

  • Anomaly Detection (Observe → Reflect → Infer)
  • Creative Ideation (Infer → Synthesize → Reflect)
  • Hypothesis Refinement (Infer → Reflect → Define)

SCM Output Artifacts

Recursive Refinement

Throughout all phases, we maintain the possibility of recursion. Any phase may trigger a return to an earlier phase if:

  1. New information challenges previous definitions or classifications
  2. Inferences reveal gaps in our observational data
  3. Synthesis highlights definitional inconsistencies
  4. SCM insights suggest entirely new vectors for investigation

Each recursive loop must be documented with:

  • Trigger rationale
  • Loop trajectory (which phases are revisited)
  • New artifacts generated
  • Resolution criteria

Phase Transition Management

At each phase boundary:

  1. Boomerang Return: All completed tasks return structured JSON payload to orchestrator
  2. Manifest Update: Task status updated in .roo/boomerang-state.json
  3. Dependency Check: Verify all required inputs for next phase are available
  4. Mode Assignment: Delegate next phase tasks to appropriate modes

Next Actions

  1. Update boomerang state with initialization completion → state_001
  2. Begin observation phase task delegation → delegate_001
  3. Establish monitoring for SCM triggers → scm_001
  4. Create directory structure for upcoming phase outputs → structure_001