Architectural Invariant Design: Capacitor 7 Secure Enclave Direct-Memory Cryptographic Isolation
Capacitor 7 Secure Enclave Direct-Memory Cryptographic Isolation defines an industrial-grade behavioral standard for mobile engineering. Enforces strict native memory isolation for hardware-backed cryptographic operations across the Capacitor 7 bridge. High-entropy key material and biometric credentials must remain locked within iOS Secure Enclave (kSecAttrAccessibleAfterFirstUnlockThisDeviceOnly) or Android StrongBox KeyStore, prohibiting serialization or leakage of private keys into the V8 or JavaScriptCore webview heap. 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 | Exposing Raw Private Keys or Biometric Secrets to the Capacitor JavaScript Webview Heap | 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 isolate private key generation and storage inside hardware modules (iOS Secure Enclave / Android StrongBox Keystore) with non-exportable key flags.
Engineers MUST ALWAYS isolate private key generation and storage inside hardware modules (iOS Secure Enclave / Android StrongBox Keystore) with non-exportable key flags.
Engineers MUST NOT serialize, return, or bridge raw private keys, seeds, or biometric tokens into TypeScript/JavaScript webview memory.
Engineers MUST NOT serialize, return, or bridge raw private keys, seeds, or biometric tokens into TypeScript/JavaScript webview memory.
Code SHOULD use opaque key identifiers (UUID/string alias) in webview state, delegating all signing operations to native bridge plugins via challenge-response patterns.
Code SHOULD use opaque key identifiers (UUID/string alias) in webview state, delegating all signing operations to native bridge plugins via challenge-response patterns.
Services MUST enforce cryptographic operation boundaries natively, wiping temporary challenge buffers immediately from native memory after signing.
Services MUST enforce cryptographic operation boundaries natively, wiping temporary challenge buffers immediately from native memory after signing.
Components NEVER store long-lived cryptographic credentials in localStorage, IndexedDB, or JavaScript runtime variables.
Components NEVER store long-lived cryptographic credentials in localStorage, IndexedDB, or JavaScript runtime variables.
Frequently Asked Technical Questions
Common questions developers face when configuring AI coding assistants for this stack:
Q:Why is Capacitor 7 Secure Enclave Direct-Memory Cryptographic Isolation critical for AI coding assistants?
Enforces strict native memory isolation for hardware-backed cryptographic operations across the Capacitor 7 bridge. High-entropy key material and biometric credentials must remain locked within iOS Secure Enclave (kSecAttrAccessibleAfterFirstUnlockThisDeviceOnly) or Android StrongBox KeyStore, prohibiting serialization or leakage of private keys into the V8 or JavaScriptCore webview heap. 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 (Exposing Raw Private Keys or Biometric Secrets to the Capacitor JavaScript Webview Heap) 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.