Architectural Invariant Design: Capacitor 7 Hardware-Backed Key Derivation and Biometric Prompt Invariants
Capacitor 7 Hardware-Backed Key Derivation and Biometric Prompt Invariants defines an industrial-grade behavioral standard for mobile engineering. Guarantees offline cached access tokens remain cryptographically bound to the Secure Enclave or Android Keystore until explicit user presence is verified. Eliminates soft-gated authentication checks where biometric verification is merely an application-layer Boolean check rather than an cryptographic prerequisite for unwrapping AES-GCM encryption keys. 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 | Soft-Gating Biometrics via Client-Side Booleans and Static Device Storage | 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 tie access token decryption directly to hardware-backed cryptographic operations where keys require kSecAccessControlBiometryAny or UserAuthenticationRequirement.BIOMETRIC_STRONG.
Engineers MUST ALWAYS tie access token decryption directly to hardware-backed cryptographic operations where keys require kSecAccessControlBiometryAny or UserAuthenticationRequirement.BIOMETRIC_STRONG.
Engineers MUST NOT rely on high-level biometric plugins that merely return a boolean success/failure flag without performing hardware key unwrap operations.
Engineers MUST NOT rely on high-level biometric plugins that merely return a boolean success/failure flag without performing hardware key unwrap operations.
Code MUST handle cryptographic authentication failures (e.g., LAErrorUserCancel, KeyPermanentlyInvalidatedException) explicitly, invalidating local session tokens upon key corruption or enrollment modification.
Code MUST handle cryptographic authentication failures (e.g., LAErrorUserCancel, KeyPermanentlyInvalidatedException) explicitly, invalidating local session tokens upon key corruption or enrollment modification.
Services MUST ensure that cryptographic master keys are generated inside the Secure Enclave or Hardware Keystore and never exported into JavaScript or webview memory in cleartext.
Services MUST ensure that cryptographic master keys are generated inside the Secure Enclave or Hardware Keystore and never exported into JavaScript or webview memory in cleartext.
Components NEVER store sensitive access tokens in standard unencrypted web storage, unconstrained SQLite databases, or standard Capacitor Preferences.
Components NEVER store sensitive access tokens in standard unencrypted web storage, unconstrained SQLite databases, or standard Capacitor Preferences.
Frequently Asked Technical Questions
Common questions developers face when configuring AI coding assistants for this stack:
Q:Why is Capacitor 7 Hardware-Backed Key Derivation and Biometric Prompt Invariants critical for AI coding assistants?
Guarantees offline cached access tokens remain cryptographically bound to the Secure Enclave or Android Keystore until explicit user presence is verified. Eliminates soft-gated authentication checks where biometric verification is merely an application-layer Boolean check rather than an cryptographic prerequisite for unwrapping AES-GCM encryption keys. 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 (Soft-Gating Biometrics via Client-Side Booleans and Static Device Storage) 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.