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Skillsios-security-and-rbac

ios-security-and-rbac

Security & auditing

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Updated 10-16 08:03

About this skill

iOS Security And RBAC

Acknowledgement: Shared by Peter Bamuhigire, techguypeter.com, +256 784 464178.

Use When

  • Securing an iOS app, reviewing mobile threat models, designing permission gates, protecting secrets, or implementing tenant-aware RBAC.
  • The task mentions Keychain, Secure Enclave, App Attest, Trust Insights, Data Protection, ATS, certificate pinning, jailbreak/tamper checks, privacy manifests, roles, permissions, App Intents, AI tool use, prompt injection, or offline authorization caches.
  • A retired iOS security or RBAC skill is referenced by name.

Do Not Use When

  • The task is general iOS implementation with no security, privacy, or authorization impact.
  • The task is cross-platform Android-first RBAC; use mobile-platform-operations for the absorbed Android/mobile RBAC reference.

Required Inputs

  • Auth model, tenant model, roles/permissions, data sensitivity, offline requirements, API authorization contract, storage choices, and compliance/privacy constraints.

Workflow

  1. Load ios-development for baseline implementation standards.
  2. Load vibe-security-skill for broader product threat modeling when the risk crosses backend, API, or web surfaces.
  3. Load references/agentic-ai-and-app-intents-security.md when AI, Siri, App Intents, Spotlight, or model tool use touches private data or actions.
  4. Load references/ios-app-security.md for device/app hardening and references/ios-rbac.md for permission gates.
  5. Verify server-side authorization, local cache expiry, secret storage, privacy disclosure, and test evidence.

Quality Standards

  • Client RBAC must never replace server-side authorization.
  • Secrets belong in Keychain or stronger platform storage, not UserDefaults or logs.
  • Offline permission caches need expiry, invalidation, auditability, and conservative fallback behaviour.
  • AI tools, App Intents, and Siri-mediated actions must re-check authorization and confirm high-risk actions.

Anti-Patterns

  • Trusting client-side role flags as the source of truth.
  • Logging tokens, PII, Keychain errors, or authorization payloads.
  • Adding jailbreak checks without a clear policy for detection, false positives, and support.

Outputs

  • iOS threat model, security checklist, RBAC matrix, permission-gate implementation notes, review findings, or verification evidence.

References

  • references/ios-app-security.md for Keychain, Secure Enclave, ATS, pinning, signing, privacy manifests, and tamper resistance.
  • references/ios-rbac.md for permission models, SwiftUI gates, offline caches, and tenant-safe authorization UX.
  • references/agentic-ai-and-app-intents-security.md for prompt/tool injection, App Intents authorization, semantic index privacy, App Attest, Trust Insights watch items, and AI action audit.