🔐 KRDiD™

Identity Intelligence for the STRMKRD Ecosystem

KRDiD is an identity-focused AI model built to help explain authentication, self-sovereign identity, privacy, consent, cryptographic workflows, and evidence-backed identity systems.

KRDiD is designed to assist developers, security teams, and users by translating complex identity and verification processes into clear, understandable guidance.

Purpose

KRDiD helps people understand identity systems.

It can:

Explain authentication workflows Describe identity architectures Summarize verification results Guide implementation of identity solutions Help troubleshoot identity integrations Explain privacy and consent concepts

KRDiD does not determine whether credentials are authentic.

Cryptographic verification must be performed by deterministic verification software.

Features 🔐 Identity Architecture 🪪 Self-Sovereign Identity (SSI) 🔑 Authentication Concepts 🛡 Privacy & Consent 📜 Identity Receipts 🧾 Audit Trail Explanation 🌐 DID & Verifiable Credential Guidance 🔍 Security Best Practices 📚 Identity Documentation 🤖 AI-Assisted Identity Workflows Quick Start ollama run advancedistroadmin/KRDiD

Example:

ollama run advancedistroadmin/KRDiD
“Explain why this identity verification failed.” Example Prompts Identity Explain self-sovereign identity. Authentication Describe how WebAuthn works. Privacy Explain consent management for identity systems. Security Review this authentication architecture. Documentation Write user-facing documentation explaining an identity verification result. How KRDiD Works Credential │ ▼ Deterministic Verification (WebAuthn / DID / OIDC / PKI) │ ▼ Verification Result │ ▼ KRDiD │ ┌───────────┼────────────┐ │ │ │ Explain Summarize Troubleshoot │ ▼ Human-readable Guidance Security Boundary

Deterministic cryptographic verification software determines whether a credential is authentic.

KRDiD does not issue authentication decisions.

Instead, KRDiD can:

Explain verification results Describe why verification succeeded or failed Summarize verified evidence Help troubleshoot configuration issues Generate user-facing explanations

This separation keeps authentication decisions in deterministic software while using AI to improve usability and understanding.

Typical Use Cases Identity platforms Authentication systems WebAuthn integrations OAuth / OpenID Connect DID and Verifiable Credentials Enterprise identity Developer documentation Security training Privacy guidance Runtime Property Value Base Model Llama 3.2 Context Window 128K (model capability) Runtime Context 8192 Temperature 0.3 Tool Support Yes Companion Models Buddy

Natural conversation, planning, and collaboration.

STRMKRD

Evidence-oriented reasoning, software architecture, governance, and engineering.

KRDiD

Identity, authentication, privacy, and verification guidance.

Design Principles

KRDiD is designed to:

Prioritize security over convenience. Distinguish verified facts from assumptions. Explain rather than decide. Protect confidential information. Encourage deterministic verification for security-critical decisions. Best For Identity Architecture Authentication WebAuthn OAuth OpenID Connect DID Verifiable Credentials Privacy Engineering Security Documentation Compliance Guidance Version

Current Release

KRDiD v1.0.1

License

Built on Llama 3.2 under the Llama 3.2 Community License.

Additional project assets and documentation remain subject to their respective licenses.

Security Notice

KRDiD is an AI assistant for identity workflows. It is not a cryptographic verifier and should not be used as the sole authority for authentication or authorization decisions. Always perform credential validation using deterministic cryptographic verification software before acting on the result.