Architectural Invariant Design: Capacitor 7 Secure Enclave Dynamic Biometric Invalidation and Database Purge
Capacitor 7 Secure Enclave Dynamic Biometric Invalidation and Database Purge defines an industrial-grade behavioral standard for mobile engineering. Enforces immediate volatile cryptographic key zeroization, Secure Enclave/KeyStore secret invalidation, and SQLite (SQLCipher) handle purging whenever OS-level biometric enrollment changes or lock-screen authentication degrades. Guards against session hijacking caused by unauthorized fingerprint/face enrollment on compromised or shared devices. 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 | Persisting Decrypted Encryption Keys in Memory and Ignoring Biometric Enrollment Changes | 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 configure hardware-backed keys with `.biometryCurrentSet` (iOS) or `setUserAuthenticationParameters(..., KeyProperties.AUTH_BIOMETRIC_STRONG)` and invalidate them on new enrollment via `setInvalidatedByBiometricEnrollment(true)` (Android).
Engineers MUST ALWAYS configure hardware-backed keys with `.biometryCurrentSet` (iOS) or `setUserAuthenticationParameters(..., KeyProperties.AUTH_BIOMETRIC_STRONG)` and invalidate them on new enrollment via `setInvalidatedByBiometricEnrollment(true)` (Android).
Engineers MUST NEVER cache plaintext database encryption keys in JavaScript heap variables, `localStorage`, `sessionStorage`, or IndexedDB across app lifecycle boundaries.
Engineers MUST NEVER cache plaintext database encryption keys in JavaScript heap variables, `localStorage`, `sessionStorage`, or IndexedDB across app lifecycle boundaries.
Code MUST actively catch hardware cryptographic failure exceptions (e.g., `KeyPermanentlyInvalidatedException` or `errSecAuthFailed`) upon application resume and trigger an immediate emergency vault purge.
Code MUST actively catch hardware cryptographic failure exceptions (e.g., `KeyPermanentlyInvalidatedException` or `errSecAuthFailed`) upon application resume and trigger an immediate emergency vault purge.
Services MUST zeroize `Uint8Array` buffers containing raw cryptographic keys using `.fill(0)` before garbage collection or unreferencing.
Services MUST zeroize `Uint8Array` buffers containing raw cryptographic keys using `.fill(0)` before garbage collection or unreferencing.
Components NEVER assume biometric validity persists across app pause/resume events without re-verifying biometric enrollment identity hash or re-authorizing against the hardware enclave.
Components NEVER assume biometric validity persists across app pause/resume events without re-verifying biometric enrollment identity hash or re-authorizing against the hardware enclave.
Frequently Asked Technical Questions
Common questions developers face when configuring AI coding assistants for this stack:
Q:Why is Capacitor 7 Secure Enclave Dynamic Biometric Invalidation and Database Purge critical for AI coding assistants?
Enforces immediate volatile cryptographic key zeroization, Secure Enclave/KeyStore secret invalidation, and SQLite (SQLCipher) handle purging whenever OS-level biometric enrollment changes or lock-screen authentication degrades. Guards against session hijacking caused by unauthorized fingerprint/face enrollment on compromised or shared devices. 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 (Persisting Decrypted Encryption Keys in Memory and Ignoring Biometric Enrollment Changes) 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.