Choosing the Right AI Model in ISMS Copilot
Overview
ISMS Copilot gives you access to multiple AI models—Grok, GPT, Claude, Gemini, and Mistral—each with unique strengths for compliance work. Choosing the right model for your task improves accuracy, speed, and output quality.
This guide helps you match models to your specific needs, from policy drafting to gap analysis to real-time threat research.
Quick Model Selection Guide
Choose your model based on the task:
Task Type | Recommended Model | Why |
|---|---|---|
Policy & procedure drafting | Claude | Superior reasoning, nuanced language, detailed outputs |
Gap analysis & audits | Claude or Gemini | Large context windows, structured analysis, enterprise focus |
Quick compliance questions | GPT | Fast responses, broad knowledge, versatile |
Real-time threat intelligence | Grok | Live web search, current events, trending vulnerabilities |
EU-specific compliance (GDPR, NIS2, DORA) | Mistral | EU data sovereignty, multilingual, European regulations |
Multilingual documentation | Mistral or Gemini | Strong non-English support |
Complex risk assessments | Claude | Deep reasoning, handles multi-variable scenarios |
Code/technical controls | Grok or GPT | Strong technical knowledge, coding capabilities |
All models in ISMS Copilot receive the same compliance-grade knowledge injection. Your choice affects style, reasoning depth, and specialized capabilities—not core compliance accuracy.
How to Switch Models
Access AI models through the sidebar:
Open the sidebar (click hamburger menu or swipe from left)
Scroll to the Assistants section
Click your preferred model (e.g., Claude, Grok)
Start a new conversation or continue in current thread
Your selection applies immediately. Switch anytime based on your task.
Model switching is available on all plans, including the free tier. Paid plans (Plus, Standard, Pro, and Business) unlock more credits per session across all models.
Understanding Each Model
Claude (Anthropic)
Best for: Policy writing, complex analysis, detailed documentation
Strengths:
Advanced reasoning for nuanced compliance scenarios
Large context windows (handles 20+ page documents in one query)
Safety-focused design reduces hallucinations
Produces well-structured, audit-ready outputs
Excellent for ISO 27001 Annex A controls, SOC 2 criteria mapping
Use when: You need comprehensive policies, risk assessments with multiple factors, or detailed gap analysis reports.
GPT (OpenAI)
Best for: General questions, quick tasks, multimodal needs
Strengths:
Fast, versatile responses across all compliance frameworks
Broad knowledge base for general security topics
Strong conversational ability for brainstorming
Multimodal capabilities (when image analysis needed)
Use when: You need quick answers to straightforward questions, want to explore ideas, or need fast turnaround on routine tasks.
GPT can be more prone to hallucinations than other models. Always cross-check critical outputs against official standards, especially for audit-ready documents.
Grok (xAI)
Best for: Real-time research, current threats, technical controls
Strengths:
Live web search for up-to-date information
Excellent for tracking emerging vulnerabilities (CVEs, zero-days)
Strong coding and technical implementation guidance
Current regulatory changes and industry news
Use when: You need information about recent security incidents, want to verify current best practices, or need technical implementation details for controls.
Gemini (Google)
Best for: Enterprise integrations, multimodal analysis, global compliance
Strengths:
Enterprise-grade capabilities with Google Cloud integration mindset
Multilingual support for international compliance
Strong at structured data analysis
Certified for enterprise security standards
Use when: Working on enterprise-scale implementations, need multilingual documentation, or analyzing structured compliance data.
Mistral AI
Best for: EU compliance, multilingual work, data sovereignty needs
Strengths:
EU-based and designed for European data sovereignty requirements
Exceptional multilingual capabilities (especially European languages)
Efficient processing with customization potential
Strong understanding of GDPR, NIS2, DORA, EU AI Act
Use when: Working on EU-specific regulations, need documentation in non-English European languages, or data sovereignty is critical.
Model Selection Strategy
For Different Project Phases
Initial research & scoping: Grok (current landscape) or GPT (broad overview)
Gap analysis: Claude or Gemini (detailed analysis)
Policy development: Claude (comprehensive drafting)
Audit preparation: Claude (structured outputs)
Ongoing monitoring: Grok (emerging threats) or GPT (routine questions)
For Different Frameworks
ISO 27001: Claude (complex controls), GPT (quick lookups)
SOC 2: Claude (detailed criteria mapping), Gemini (enterprise context)
GDPR/NIS2/DORA: Mistral (EU focus) or Claude (detailed analysis)
NIST: GPT (broad framework) or Claude (detailed implementation)
Cyber Resilience Act: Mistral (EU regulation) or Grok (latest updates)
Try different models for the same task to compare outputs. This helps you learn each model's style and find your preferred approach for different work types.
Advanced Tips
Combine Models for Complex Projects
Use multiple models in sequence:
Grok: Research current state of practice for a control
Claude: Draft comprehensive policy based on research
GPT: Generate quick implementation checklist
Mistral: Translate final document for EU subsidiaries
Workspace-Specific Models
Set up Workspaces for different clients or projects, and use consistent models within each:
EU client workspace → Mistral as default
Technical security workspace → Grok for implementation
Policy documentation workspace → Claude for drafting
Custom Instructions per Model
Add Workspace-specific custom instructions that leverage each model's strengths:
Claude: "Provide detailed rationale for each control selection"
GPT: "Keep responses concise and actionable"
Grok: "Include recent industry examples and citations"
Mistral: "Reference EU regulations explicitly"
Quality and Testing
All models in ISMS Copilot undergo rigorous compliance testing before deployment. Every model is validated against:
Official framework requirements (ISO 27001, SOC 2, NIST, etc.)
Real-world audit scenarios from hundreds of projects
Hallucination detection and accuracy benchmarks
Models that fail testing are not made available. This ensures every option meets compliance-grade standards.
ISMS Copilot's knowledge injection system enhances all models with field-tested expertise. This means even general-purpose models like GPT gain compliance-specific capabilities when used through Copilot.
Privacy Across All Models
Regardless of which model you choose:
Your inputs are never used for AI training
All data remains in EU servers (Frankfurt)
End-to-end encryption protects your queries
Zero data retention agreements (ZDR) with all providers
PII Reduction toggle available in Settings > Data Protection
Common Questions
Which model is most accurate?
All models receive the same compliance knowledge and meet ISMS Copilot's accuracy standards. Differences are in reasoning style, output format, and specialized capabilities—not core accuracy.
Can I use different models in the same Workspace?
Yes. Switch models anytime within a Workspace. Each conversation thread maintains its model selection.
Do some models cost more?
No. All models are included in your plan. Free tier has 10 credits per session; paid plans (Plus, Standard, Pro, and Business) offer increased credits per session across all models.
Why would I switch models mid-project?
Different tasks benefit from different strengths. Use Grok for research, Claude for drafting, GPT for quick edits—all within the same project.
Related Resources
ISMS Copilot vs Claude - Detailed Claude comparison
ISMS Copilot vs ChatGPT - GPT strengths and limitations
ISMS Copilot vs Grok - Grok's real-time capabilities
ISMS Copilot vs Gemini - Gemini enterprise features
ISMS Copilot vs Mistral AI - Mistral EU compliance focus
AI Model Testing & Validation - How models are vetted
AI System Technical Overview - Backend architecture