AI-Assisted Strategic Planning with SF²¶
Why AI Tools for Security Strategy?¶
Modern AI assistants (Claude, ChatGPT, Gemini) can significantly accelerate security strategy work when properly configured with the SF² framework. They're particularly effective for:
- Strategic analysis - Assessing your organizational position
- Investment prioritization - Determining which capabilities to build first
- Scenario planning - Exploring transformation paths and timelines
- Framework application - Translating SF² concepts to your specific context
- Executive communication - Drafting board-ready strategy documents
Key Capabilities of AI Assistants¶
Context Management¶
Modern AI tools support various context management features:
- Claude Desktop: Projects with persistent knowledge bases
- ChatGPT: Custom GPTs with specific instructions and knowledge
- Gemini: Gems with customized personas and knowledge
Strategic Advantages¶
1. Framework Internalization - Load SF² framework documentation into AI context - Get instant guidance on quadrant positioning and investment strategy - Explore framework application to your specific situation
2. Decision Support - Analyze your organization against framework dimensions - Compare strategic options with framework-informed analysis - Model transformation timelines and resource requirements
3. Communication Acceleration - Draft strategy documents aligned with SF² concepts - Generate executive summaries with framework terminology - Create board presentations explaining strategic positioning
4. Continuous Reference - Always-available framework consultation - Consistent strategic vocabulary across your team - Rapid exploration of "what-if" scenarios
How to Use This Section¶
This section provides practical guidance for integrating SF² with popular AI tools:
- Claude Integration - Claude Projects, custom instructions, example workflows
- ChatGPT Integration - Custom GPTs, system prompts, practical examples
- Gemini Integration - Gems configuration, custom instructions, use cases
Each guide includes: - Setup instructions for the specific platform - Framework-specific prompts and instructions - Example conversations demonstrating strategic analysis - Practical workflows for common security leader tasks
General Best Practices¶
1. Start with Your Position Assessment¶
Initial Prompt Template:
I'm a security leader at [company description]. Help me assess our SF² position:
Operational Complexity: [simple/complex]
- Team size: [X engineers]
- Products/services: [description]
- Infrastructure: [description]
Operational Readiness: [lower/higher]
- CI/CD maturity: [description]
- Automation level: [description]
- Infrastructure type: [cloud/hybrid/on-prem]
What quadrant are we in, and what should be our strategic priorities?
2. Explore Contextual Modifiers¶
Follow-up Analysis:
Analyze how these contextual modifiers affect our strategy:
- Attack landscape maturity: [high/moderate/low]
- Supply chain complexity: [description]
- Regulatory constraints: [requirements]
- Recent crisis events: [if any]
- Change capacity: [high/moderate/low]
- Relationship health with engineering: [strong/functional/damaged]
How do these modifiers influence our investment priorities?
3. Develop Investment Strategy¶
Strategic Planning Prompt:
Based on our [quadrant] position, help me design a 12-month investment strategy:
Current BAU activities consuming team time:
- [list manual security work]
Available resources:
- Team: [size and composition]
- Budget: [if relevant]
- Executive support: [level]
What scaling investments should we prioritize?
4. Create Transformation Roadmap¶
Roadmap Development:
We're planning to move from [current position] to [target position].
Timeline: [X months/years]
Resources: [available]
Constraints: [regulatory, organizational, technical]
Create a realistic transformation roadmap with:
- Major milestones
- Success indicators
- Risk factors
- Resource requirements
Strategic Use Cases for AI Assistance¶
Board Preparation¶
Scenario: Need to brief the board on security strategy
AI Workflow: 1. Load current organizational assessment 2. Request executive summary using SF² positioning 3. Generate visual explanations of investment strategy 4. Draft talking points for strategic transitions 5. Prepare answers to anticipated board questions
Budget Justification¶
Scenario: Need to justify security investments
AI Workflow: 1. Explain current position and scaling crisis 2. Generate ROI analysis for scaling investments 3. Draft budget proposal using SF² terminology 4. Create comparison of BAU vs scaling investment outcomes 5. Prepare responses to CFO concerns
Organizational Assessment¶
Scenario: New security leader wants to understand organizational positioning
AI Workflow: 1. Systematic assessment of operational complexity 2. Evaluation of operational readiness maturity 3. Analysis of contextual modifiers 4. Strategic recommendations based on positioning 5. Priority action plan for first 90 days
Vendor Evaluation¶
Scenario: Deciding which security tools to purchase
AI Workflow: 1. Map tools to SF² investment categories (BAU vs scaling) 2. Evaluate tool fit for your quadrant position 3. Analyze whether tools support automation or create manual work 4. Compare tools against strategic priorities 5. Generate vendor evaluation criteria aligned with framework
Team Communication¶
Scenario: Need to explain strategic direction to security team
AI Workflow: 1. Translate SF² concepts into team-accessible language 2. Generate examples relevant to your organization 3. Draft all-hands presentation on strategy 4. Create FAQ addressing common concerns 5. Develop communication plan for transformation
Privacy and Security Considerations¶
What to Share with AI Tools¶
Safe to include: - Framework concepts and terminology - General organizational characteristics (size, complexity) - Strategic objectives and investment priorities - Hypothetical scenarios and planning discussions - Public information about your organization
Avoid including: - Specific vulnerability details - Actual security incidents and response details - Confidential business information - Customer or user data - Proprietary technical implementations - Security tool configurations and policies
Data Handling by Platform¶
Claude Desktop: - Projects stored locally with optional cloud sync - Can be used in offline mode for sensitive work - Supports organizational deployment with data controls
ChatGPT: - Custom GPTs available for Team and Enterprise plans - Enterprise plans offer enhanced data privacy - Can disable training on your conversations
Gemini: - Gems available with privacy controls - Enterprise plans offer data residency options - Activity controls available for privacy management
Recommended Approach¶
- Use for strategy, not tactics: Focus on strategic positioning and investment planning rather than tactical security details
- Abstract when necessary: Use "Organization A" instead of your company name if concerned
- Review outputs: Always review AI-generated content before sharing internally
- Enterprise accounts: Consider enterprise AI accounts for enhanced privacy controls
Framework Update Strategy¶
As SF² evolves, keep your AI context current:
- Monitor framework updates: Check the GitLab repository for new releases
- Update AI context: Refresh your Projects/GPTs/Gems with new framework versions
- Test updated guidance: Verify AI responses align with latest framework thinking
- Share improvements: Contribute back useful prompts and workflows
Next Steps¶
Choose your AI platform to get started:
Claude Integration Guide ChatGPT Integration Guide Gemini Integration Guide