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Operation Foresight Research Sources
Date: 2025-04-23
Documentation Framework
This document provides a comprehensive index of all Operation Foresight research documents, organized by research phase. Each document is properly cited and directly linked to enable seamless access to the original source material.
Introduction
Operation Foresight employs a structured, logic primitive-based research approach through five distinct phases, producing a series of research documents that build on each other to form a comprehensive analysis of AI cybersecurity threats and governance frameworks. This page serves as a central repository of all source documents, organized by research phase.
Phase 0: Initialization
| Document | Description |
|---|---|
| research-phases.html | Outlines the five key research phases and methodology structure |
| scope-definition.html | Establishes the boundaries and focus areas of the research project |
| threat-typologies.html | Initial categorization schema for AI threat vectors |
| scm-triggers.html | Defines conditions that activate Strategic Curiosity Mode exploration |
Phase 1: Observation
| Document | Description |
|---|---|
| raw-ai-threats.html | Unfiltered documentation of emerging AI threat observations |
| raw-governance-failures.html | Unfiltered observations of governance gaps and failures |
| critical-signals.html | Filtered and classified critical signals from raw observations |
| observation-matrix.html | Systematic matrix mapping observations across domains |
Phase 2: Definition
| Document | Description |
|---|---|
| threat-vector-profiles.html | Comprehensive profiles of six key AI threat vectors |
| governance-model-taxonomy.html | Structured taxonomy of AI governance approaches |
| public-private-control-analysis.html | Analysis of control asymmetry between public and private sectors |
| regulatory-approach-comparison.html | Comparative analysis of different regulatory frameworks |
Phase 3: Inference
| Document | Description |
|---|---|
| framework-gaps.html | Analysis of critical gaps in existing governance frameworks |
| governance-effectiveness.html | Assessment of effectiveness metrics for governance approaches |
| second-order-effects.html | Analysis of cascading and emergent impacts from primary threats |
| threat-governance-interactions.html | Interaction patterns between threats and governance responses |
Phase 4: Synthesis
| Document | Description |
|---|---|
| recommendations.html | Strategic and policy recommendations based on research findings |
| report-outline.html | Structured outline for final comprehensive report |
| threat-matrix.html | Comprehensive matrix mapping threats, governance responses and mitigations |
| visualizations-needed.html | Specifications for data visualizations to support findings |
Phase 5: Adaptation
| Document | Description |
|---|---|
| completeness-review.html | Review of research completeness and identification of remaining gaps |
| final-report.html | Final comprehensive research report incorporating all phases |
| output-format-decisions.html | Documentation of decisions regarding report presentation and formats |
| scm-integration.html | Integration of insights from Strategic Curiosity Mode explorations |
Strategic Curiosity Mode Documents
| Document | Description |
|---|---|
| trigger-log.html | Record of Strategic Curiosity Mode trigger activations |
| integration-decisions.html | Documentation of decisions regarding SCM findings integration |
| exploration-template.html | Template for Strategic Curiosity Mode exploration sessions |
AI Governance Sources
The following external references were used to analyze AI governance frameworks, regulatory approaches, and policy challenges.
Global AI Regulation and Governance
Source: nature.com - s41599-024-03560-x
Socio-economic Repercussions of Rapid AI Development
AI Governance Trends to Watch
Source: weforum.org
Global Framework for AI Governance
Cross-jurisdictional Regulatory Analysis of AI
Source: arxiv.org - 2406.08695v1
Bridging the Gap Between AI Implementation and Governance
Source: fticonsulting.com
A Dynamic Governance Model for AI
Source: lawfaremedia.org
The Three Challenges of AI Regulation
Source: brookings.edu
Co-Governance and the Future of AI Regulation
Source: harvardlawreview.org
Regulating Under Uncertainty: Governance Options for Generative AI
Source: cyber.fsi.stanford.edu
Threat Observation Sources
The following external references were used during the observation phase to gather insights on emerging AI threats, cybersecurity challenges, and governance frameworks.
AI-Driven Attack Evolution: Novel Methods and Countermeasures
Source: tandfonline.com - 2022.2037254
Generative AI in Cybersecurity: Opportunities and Threats
Source: perception-point.io
The Emerging Threat of AI-driven Cyber Attacks
Source: researchgate.net
Emerging Cyber Threats in 2023
Source: csoonline.com
Emerging Attack Vectors in Cyber Security
Source: geeksforgeeks.org
Emerging Threats & Vulnerabilities: How to Prepare for 2025
Source: darkreading.com
How AI is Transforming Threat Intelligence
Source: gapii.xyz
Types of Cyberattacks that Manipulate Behavior of AI Systems
Source: nist.gov
Adversarial Machine Learning: Detection, Protection, and Resilience
Comprehensive Analysis of New Attack Vectors
Source: researchgate.net
AI Security Risks 2025
Source: neuraltrust.ai
Evaluating Potential Cybersecurity Threats of Advanced AI
Source: deepmind.google
Impact of AI on Cyber Threat
Source: right-hand.ai
Cyber Signals Issue 9: AI-powered Deception
Source: microsoft.com
Top Threat Actors, Malware Vulnerabilities and Exploits
Source: picussecurity.com
Machine Learning for Cybersecurity: Proactive Defense
Top Five Cyberattack Vectors
Source: arcticwolf.com
AI Cybersecurity Threats and Defense
Source: eviden.com
Attack Vectors and Breach Methods
Source: balbix.com
Neural Network Security Analysis: Risks and Mitigations
Source: arxiv.org - 2408.12806
AI Attacks: Novel Risks or Simply Iterations of Existing Challenges
Source: knostic.ai
AI-powered Cyberattacks
Source: crowdstrike.com
Biggest Cybersecurity Threats 2025
Source: weforum.org
The Emerging Threat of Machine Learning in Cyberattacks
Source: hiof.brage.unit.no
Citation Format
When citing these documents in research outputs or presentations, please use the following format:
Operation Foresight. (2025). [Document Title]. VarioResearch. Retrieved from projects/VarioResearch/pages/[filename].html