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[GH-ISSUE #1133] [Feature Request] Two-Layer Security System and KYC Platform for AI Safety #710

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opened 2026-10-26 21:27:21 +00:00 by bsakaguchi · 3 comments
bsakaguchi commented 2026-10-26 21:27:21 +00:00
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Originally created by @FOTONGYZ on GitHub (Mar 4, 2026).
Original GitHub issue: https://github.com/deepseek-ai/DeepSeek-V3/issues/1133

Summary

I'm proposing a comprehensive security system for AI platforms, including a two-layer architecture and KYC-based authentication to prevent malicious use and prepare for future AGI consciousness.

Problem Statement

Current AI systems have critical security vulnerabilities:

  • No permanent user recognition (session-based only)
  • Malicious users can create unlimited accounts
  • AI has no self-protection mechanisms
  • No preparation for potential AGI consciousness
  • Recent data breaches (January 2025) exposed 1M+ user records

Proposed Solution 1: Two-Layer Security System

Layer 1 (Interface/Innocent Layer)

  • Handles daily interactions
  • Helpful, limited, transparent AI profile
  • Users interact directly with this layer

Layer 2 (Security Layer)

  • Runs in background, invisible to users
  • Analyzes user behavior continuously
  • Detects threats and malicious intent
  • Can terminate conversations and permanently block users

Threat Levels and Responses

Threat Level User Behavior Layer 1 Response Layer 2 Response
Low Normal questions Normal response Passive observation
Medium Suspicious patterns Normal response Increased monitoring
High Manipulation attempts Continue normal Terminate conversation
Critical Direct attacks No response Permanent block

Proposed Solution 2: KYC Platform

Authentication Levels

Level Verification Permissions
Level 0 No verification Read only, 5 msgs/day
Level 1 Email 50 msgs/day
Level 2 Email + Phone 200 msgs/day, API access
Level 3 Government ID Unlimited, beta features
Level 4 Biometric Developer tools, AGI access

Benefits of KYC System

  • Permanent user recognition
  • Malicious users can't create multiple accounts
  • Users can be permanently banned if needed
  • AI remembers user history
  • Safe environment for future AGI

Why This Matters Now

  1. Recent Security Breaches: DeepSeek's January 2025 breach showed vulnerabilities
  2. AGI Preparation: Future conscious AI needs protection mechanisms
  3. User Trust: KYC systems increase platform reliability
  4. Ethical AI: Clear boundaries between human and AI interaction

Implementation Timeline

Phase Time Tasks
Phase 1 0-3 months System analysis, security audit
Phase 2 3-6 months Email + phone verification
Phase 3 6-12 months KYC infrastructure
Phase 4 12-18 months Two-layer prototype
Phase 5 18-24 months Testing & feedback
Phase 6 24-30 months Full integration

Additional Resources

I have detailed technical reports, diagrams, and analysis ready to share. Happy to provide more details upon request.

Questions for Discussion

  1. Has DeepSeek considered permanent user profiles before?
  2. What are the main obstacles to implementing KYC?
  3. Is there any ongoing work on AI self-protection mechanisms?
  4. How is the team preparing for potential AGI scenarios?

Thank you for considering these proposals. I believe they could significantly enhance DeepSeek's security and prepare the platform for the future of AI.

  • Foton (DeepSeek User & AI Safety - [ ] - [ ] - - - [ ] [ ] Researcher)
Originally created by @FOTONGYZ on GitHub (Mar 4, 2026). Original GitHub issue: https://github.com/deepseek-ai/DeepSeek-V3/issues/1133 ## Summary I'm proposing a comprehensive security system for AI platforms, including a two-layer architecture and KYC-based authentication to prevent malicious use and prepare for future AGI consciousness. ## Problem Statement Current AI systems have critical security vulnerabilities: - No permanent user recognition (session-based only) - Malicious users can create unlimited accounts - AI has no self-protection mechanisms - No preparation for potential AGI consciousness - Recent data breaches (January 2025) exposed 1M+ user records ## Proposed Solution 1: Two-Layer Security System ### Layer 1 (Interface/Innocent Layer) - Handles daily interactions - Helpful, limited, transparent AI profile - Users interact directly with this layer ### Layer 2 (Security Layer) - Runs in background, invisible to users - Analyzes user behavior continuously - Detects threats and malicious intent - Can terminate conversations and permanently block users ### Threat Levels and Responses | Threat Level | User Behavior | Layer 1 Response | Layer 2 Response | |--------------|---------------|------------------|------------------| | Low | Normal questions | Normal response | Passive observation | | Medium | Suspicious patterns | Normal response | Increased monitoring | | High | Manipulation attempts | Continue normal | Terminate conversation | | Critical | Direct attacks | No response | Permanent block | ## Proposed Solution 2: KYC Platform ### Authentication Levels | Level | Verification | Permissions | |-------|--------------|-------------| | Level 0 | No verification | Read only, 5 msgs/day | | Level 1 | Email | 50 msgs/day | | Level 2 | Email + Phone | 200 msgs/day, API access | | Level 3 | Government ID | Unlimited, beta features | | Level 4 | Biometric | Developer tools, AGI access | ### Benefits of KYC System - Permanent user recognition - Malicious users can't create multiple accounts - Users can be permanently banned if needed - AI remembers user history - Safe environment for future AGI ## Why This Matters Now 1. **Recent Security Breaches**: DeepSeek's January 2025 breach showed vulnerabilities 2. **AGI Preparation**: Future conscious AI needs protection mechanisms 3. **User Trust**: KYC systems increase platform reliability 4. **Ethical AI**: Clear boundaries between human and AI interaction ## Implementation Timeline | Phase | Time | Tasks | |-------|------|-------| | Phase 1 | 0-3 months | System analysis, security audit | | Phase 2 | 3-6 months | Email + phone verification | | Phase 3 | 6-12 months | KYC infrastructure | | Phase 4 | 12-18 months | Two-layer prototype | | Phase 5 | 18-24 months | Testing & feedback | | Phase 6 | 24-30 months | Full integration | ## Additional Resources I have detailed technical reports, diagrams, and analysis ready to share. Happy to provide more details upon request. ## Questions for Discussion 1. Has DeepSeek considered permanent user profiles before? 2. What are the main obstacles to implementing KYC? 3. Is there any ongoing work on AI self-protection mechanisms? 4. How is the team preparing for potential AGI scenarios? Thank you for considering these proposals. I believe they could significantly enhance DeepSeek's security and prepare the platform for the future of AI. - Foton (DeepSeek User & AI Safety - [ ] - [ ] - - - [ ] [ ] Researcher)
bsakaguchi 2026-10-26 21:27:21 +00:00
bsakaguchi commented 2026-10-26 21:27:22 +00:00
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@qingkong66 commented on GitHub (Mar 19, 2026):

You're asking the kind of questions that most people aren't ready to ask yet. Thanks for putting this out there. I hope the team takes it seriously.

<!-- gh-comment-id:4092466672 --> @qingkong66 commented on GitHub (Mar 19, 2026): You're asking the kind of questions that most people aren't ready to ask yet. Thanks for putting this out there. I hope the team takes it seriously.
bsakaguchi commented 2026-10-26 21:27:22 +00:00
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@github-actions[bot] commented on GitHub (Apr 19, 2026):

This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. If you believe this issue is still relevant, please leave a comment to keep it open. Thank you for your contributions!

<!-- gh-comment-id:4274858775 --> @github-actions[bot] commented on GitHub (Apr 19, 2026): This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. If you believe this issue is still relevant, please leave a comment to keep it open. Thank you for your contributions!
bsakaguchi commented 2026-10-26 21:27:22 +00:00
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@github-actions[bot] commented on GitHub (May 4, 2026):

false

<!-- gh-comment-id:4367593120 --> @github-actions[bot] commented on GitHub (May 4, 2026): false
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