KODEVAI WHITEPAPER
Website
  • README
  • Welcome to the KodevAI Whitepaper
  • Introduction
  • overview
    • what-is-kodevai
    • Who It's For
    • Why It Matters
  • vision-mission
    • Long-Term Goals
    • Mission Statement
    • Our Vision
  • how-it-works
    • Token Access Model
    • Vibe Coding Agent
    • Prompt. Vibe. Deploy. — How KodevAI Works
  • features
    • Component Library (coming soon)
    • GitHub Integration
    • Multi-Agent Future
    • On-Chain Deploy
    • One-Click Deployment
    • Preview & Refine
    • Prompt Marketplace
    • Prompt-Based UI
    • Supabase DB Connector
    • Token-Gated Access
    • Vibe Coding Agent
    • Web + dApp Builder
  • use-cases
    • Web3 Startups
    • Community DAOs
    • Creators & Founders
    • Educators & Prompt Engineers
    • Web3 Startups
  • tokenomics
    • Token Allocation
    • Public Sale
    • Access Tiers & Token Utility
    • Token Details
    • Token Utility
  • roadmap
    • future-goals
    • Milestones
    • upcoming
  • team
    • Advisors
    • community
    • Core Team
  • security-compliance
    • audits
    • data-privacy
    • kyc-aml
  • legal
    • Developer Agreement
    • Disclaimers
    • Twitter API Policy
  • faq
    • Beta Access
    • Staking & Holding $KODEV
    • Support
    • Supported Chains
  • closing
    • Final Words
    • Get Started
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  1. security-compliance

data-privacy

🔐 Data Privacy

At KodevAI, protecting user data isn’t an afterthought — it’s a core value. We follow strict data privacy practices across all our systems to ensure user trust, compliance, and ethical AI development.

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📜 Privacy by Design

KodevAI incorporates privacy at every level of product design. Our principles include: • Minimal Data Collection We only collect what’s necessary for functionality, not for monetization. • End-to-End Encryption Sensitive user data, credentials, and API keys are encrypted both in transit and at rest. • User Control Users retain full control over their data. You can export, delete, or opt-out at any time.

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🔍 Transparency in AI Interactions

As an AI-first platform, we’re conscious of data exposure risks when interacting with language models. Our safeguards include: • Session Isolation Prompt sessions are sandboxed to prevent data leaks across users. • Prompt Redaction Sensitive or identifiable inputs are filtered or anonymized before LLM interactions. • On-Device LLM (coming soon) Users will be able to use private, local language models for maximum control and privacy.

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🌐 GDPR & Global Compliance

KodevAI is committed to compliance with major data protection laws: • GDPR (Europe) Right to be forgotten, data access, and transparency are fully supported. • CCPA (California) Users can opt out of data sharing and view what’s stored about them. • DPDP (India) & other emerging privacy standards are tracked and incorporated proactively.

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🔧 3rd-Party Service Policies

We use a small number of secure infrastructure tools (e.g., Supabase, Vercel, OpenAI API) and only after verifying: • Their compliance certifications (SOC2, ISO27001, etc.) • Their own data storage and deletion policies • Clear contractual data boundaries

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🤝 User Responsibilities

While we provide a secure environment, users should: • Keep private keys, API credentials, and tokens safe • Use 2FA for Web3 wallet and platform login • Report any suspicious activity to care@kodevai.studio

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KodevAI’s data privacy mission is simple: Your data belongs to you. We protect it — always.

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Last updated 25 days ago