Trust Center
Responsible AI

How we use AI responsibly

AI powers our platform, but your data stays yours. Here's exactly how we use it, which models we employ, and our "burn after reading" approach.

Our AI principles

The commitments that guide every AI feature we build.

Burn after reading

When you use AI features, your data is sent to the model, processed, and immediately discarded. No logs. No storage. No training. Every request is ephemeral.

Your data, never training data

We have explicit agreements with all AI providers that prohibit using customer data for model training. Your compliance documents won't end up teaching AI—ever.

Transparency by default

We tell you exactly which AI model processes each request. You can see what data is sent and understand how results are generated.

Human oversight required

AI generates suggestions, not decisions. Every policy, every questionnaire response, every recommendation requires human review before use.

AI models we use

Complete transparency about which models power which features.

Anthropic

Claude (Anthropic)

Claude 3.5 Sonnet

Purpose

Policy generation, questionnaire responses, gap analysis recommendations

Data handling

Zero retention. Data processed in isolated sessions, immediately discarded after response generation.

OpenAI

GPT-4

GPT-4 Turbo

Purpose

Document analysis, evidence extraction, control mapping suggestions

Data handling

Zero retention via API. Enterprise agreement prohibits training on customer data.

OpenAI

Embeddings

text-embedding-3-large

Purpose

Semantic search across policies and evidence, similar document matching

Data handling

Embeddings stored for search functionality. Source text not retained by provider.

AI in action

How AI assists each feature—and where humans stay in control.

Feature
Model
What AI receives
What AI produces
Human step
Policy Generation
Claude 3.5 Sonnet
Company profile, framework requirements, existing policies
Draft policy documents tailored to your organization
Review, customize, and approve before publishing
Questionnaire Responses
Claude 3.5 Sonnet
Question text, your policies, your evidence library
Draft responses with evidence citations
Verify accuracy, adjust tone, attach final evidence
Gap Analysis
GPT-4 Turbo
Current controls, target framework requirements
Gap identification with remediation suggestions
Prioritize gaps, assign owners, set timelines
Evidence Search
Embeddings
Natural language query
Relevant documents and evidence ranked by relevance
Select appropriate evidence for control
Document Analysis
GPT-4 Turbo
Uploaded vendor documentation, contracts
Extracted security controls, risk indicators
Validate findings, update vendor risk assessment

What we never do

  • Train AI models on your data
  • Share your data with other customers
  • Store prompts or responses beyond your session
  • Make compliance decisions without human approval
  • Use AI for access control or authentication decisions
  • Process data in jurisdictions without your consent

What we always do

  • Use AI to accelerate manual compliance work
  • Maintain audit trails of AI-assisted actions
  • Allow you to disable AI features entirely
  • Provide non-AI alternatives for all core features
  • Regularly audit AI outputs for accuracy and bias
  • Update you when we change AI providers or models

Data flow architecture

How your data moves through AI processing

1

You initiate

You click "Generate Policy" or similar AI-powered action

2

We prepare

Relevant context is assembled (your profile, framework requirements)

3

AI processes

Request sent via API, processed in isolated session

4

Data discarded

AI provider discards input immediately after response

5

You review

Output returned for your review and approval

Want to use vCISO Lite without AI?

All core functionality works without AI features. You can disable AI-powered suggestions in your account settings and use traditional templates and manual workflows instead. Contact support if you need help configuring a non-AI setup.

Questions about our AI practices?

We're happy to discuss our AI implementation, data handling, or provide additional documentation for your security review.