Architectural Invariant Design: OpenFGA ReBAC Sub-Millisecond Graph Authorization and Cache Invalidation Invariant
OpenFGA ReBAC Sub-Millisecond Graph Authorization and Cache Invalidation Invariant defines an industrial-grade behavioral standard for security engineering. Enforces sub-millisecond OpenFGA relationship-based access control (ReBAC) evaluations while guaranteeing zero stale-graph traversals. Mandates strict fail-closed authorization boundaries, deterministic transactional tuple synchronization via transactional outbox patterns, request-scoped contextual tuples, and precise cache invalidation across distributed services. 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 | Stale Tuple Authorization Bypasses and Fail-Open Distributed In-Memory Caching | 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 enforce fail-closed evaluation
Engineers MUST ALWAYS enforce fail-closed evaluation: any OpenFGA network timeout, circuit breaker trip, or traversal error MUST evaluate strictly to `allowed: false`.
Engineers MUST NOT cache positive authorization decisions without deterministic, event-driven cache invalidation keyed directly to OpenFGA tuple relationship identifiers (e.g., `user
Engineers MUST NOT cache positive authorization decisions without deterministic, event-driven cache invalidation keyed directly to OpenFGA tuple relationship identifiers (e.g., `user:<id>#relation@object:<id>`).
Services MUST synchronize relationship tuple writes and deletes with primary database mutations using a Transactional Outbox pattern or atomic two-phase commit to prevent split-brain authorization states.
Services MUST synchronize relationship tuple writes and deletes with primary database mutations using a Transactional Outbox pattern or atomic two-phase commit to prevent split-brain authorization states.
Engineers MUST leverage OpenFGA `contextual_tuples` for ephemeral request attributes (e.g., resource lease, step-up MFA, IP boundary) rather than mutating persistent store tuples.
Engineers MUST leverage OpenFGA `contextual_tuples` for ephemeral request attributes (e.g., resource lease, step-up MFA, IP boundary) rather than mutating persistent store tuples.
Components NEVER store or trust static permission flags inside long-lived JWTs or local session states
Components NEVER store or trust static permission flags inside long-lived JWTs or local session states; relationship graph resolution MUST occur on every state-mutating and sensitive read operation.
Frequently Asked Technical Questions
Common questions developers face when configuring AI coding assistants for this stack:
Q:Why is OpenFGA ReBAC Sub-Millisecond Graph Authorization and Cache Invalidation Invariant critical for AI coding assistants?
Enforces sub-millisecond OpenFGA relationship-based access control (ReBAC) evaluations while guaranteeing zero stale-graph traversals. Mandates strict fail-closed authorization boundaries, deterministic transactional tuple synchronization via transactional outbox patterns, request-scoped contextual tuples, and precise cache invalidation across distributed services. 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 (Stale Tuple Authorization Bypasses and Fail-Open Distributed In-Memory Caching) 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.