Architectural Invariant Design: Hardware-Bound WebAuthn PRF Deterministic Key Derivation Invariants
Hardware-Bound WebAuthn PRF Deterministic Key Derivation Invariants defines an industrial-grade behavioral standard for security engineering. Enforces client-side zero-knowledge key synthesis via the WebAuthn Level 3 PRF (Pseudo-Random Function) extension. Guarantees that derived symmetric keys never leak to backend infrastructure, authenticator assertions enforce explicit user verification, and raw PRF outputs are immediately expanded into non-extractable cryptographic keys using domain-separated HKDF. Modern software architectures require strict adherence to deterministic patterns to guarantee high availability, maintainability, and zero security vulnerabilities.
Hazard Analysis: What Breaks Without This Rule
The following failure modes have been cataloged from hundreds of hours of production code reviews where AI assistants produced non-compliant implementations:
| Failure Mode | AI Symptom (The Anti-Pattern) | Severity | Production Impact & Remedy |
|---|---|---|---|
| AI Hallucination & Deprecation Drift | Transmitting Raw PRF Secrets to Backends, Omitting Hardware User Verification, or Persisting Extractable Master Keys | Critical | Violating this industrial standard introduces regression bugs, security risks, and unexpected runtime failures in production. Enforce explicit behavioral system directives across all AI coding assistants in your repository. |
| Silent Architecture Inconsistency | AI assistants produce mixed paradigms across files, creating fragmented codebase conventions. | Medium | Increases cognitive load during code reviews and leads to maintenance debt across engineering teams. Pin project conventions in .cursor/rules, CLAUDE.md, and AGENTS.md so all team agents follow identical guardrails. |
Step-by-Step Production Directives
Each rule constraint below is injected into the AI agent's system prompt to establish deterministic boundaries:
Engineers MUST ALWAYS set `userVerification
Engineers MUST ALWAYS set `userVerification: 'required'` in `navigator.credentials.get({ publicKey: ... })` calls evaluating PRF extensions to ensure biometric/PIN validation is enforced in hardware.
Engineers MUST NOT transmit raw PRF outputs (`results.first` or `results.second`) to cloud services, backend APIs, telemetry buffers, or unencrypted persistent storage.
Engineers MUST NOT transmit raw PRF outputs (`results.first` or `results.second`) to cloud services, backend APIs, telemetry buffers, or unencrypted persistent storage.
Code MUST consume raw PRF evaluation buffers immediately through `crypto.subtle.importKey('raw', prfOutput, 'HKDF', false, ['deriveKey'])` with `extractable
Code MUST consume raw PRF evaluation buffers immediately through `crypto.subtle.importKey('raw', prfOutput, 'HKDF', false, ['deriveKey'])` with `extractable: false`.
Services MUST enforce cryptographic domain separation by supplying unique, context-specific `info` parameters (e.g., `application/subsystem/v1`) during subsequent `deriveKey` operations.
Services MUST enforce cryptographic domain separation by supplying unique, context-specific `info` parameters (e.g., `application/subsystem/v1`) during subsequent `deriveKey` operations.
Components NEVER fall back to unauthenticated or software-emulated master key persistence when the authenticator PRF extension is unavailable
Components NEVER fall back to unauthenticated or software-emulated master key persistence when the authenticator PRF extension is unavailable; failures must fail closed.
Frequently Asked Technical Questions
Common questions developers face when configuring AI coding assistants for this stack:
Q:Why is Hardware-Bound WebAuthn PRF Deterministic Key Derivation Invariants critical for AI coding assistants?
Enforces client-side zero-knowledge key synthesis via the WebAuthn Level 3 PRF (Pseudo-Random Function) extension. Guarantees that derived symmetric keys never leak to backend infrastructure, authenticator assertions enforce explicit user verification, and raw PRF outputs are immediately expanded into non-extractable cryptographic keys using domain-separated HKDF. Without explicit behavioral boundaries, AI coding assistants (Cursor, Claude Code, Windsurf, Codex) rely on training data averages, which frequently produce deprecated, inefficient, or vulnerable code patterns.
Q:How does adopting this rule prevent AI hallucinations?
This rule explicitly declares what the AI must avoid (Transmitting Raw PRF Secrets to Backends, Omitting Hardware User Verification, or Persisting Extractable Master Keys) and prescribes verified positive examples. Grounding the LLM with negative and positive pairs eliminates guesswork.
Q:Which AI coding environments are supported?
This specification is multi-platform compatible: Cursor (.cursor/rules/*.mdc & .cursorrules), Anthropic Claude Code (CLAUDE.md), Windsurf (.windsurfrules), Codex / Cline (AGENTS.md), and GitHub Copilot (.github/copilot-instructions.md).
Q:Can I combine this rule with other technology stacks?
Yes. Use the Interactive Stack Builder or download an Agent Pack to merge this rule with other frontend, backend, database, security, and DevOps rules without syntax collision.