Security & Architecture Standards

01.Codebase Integrity & Static Analysis

Every software system engineered by Fullness Labs undergoes automated security and syntax enforcement prior to deployment:

• Strict Type Safety: 100% TypeScript coverage with strict compiler modes to eliminate runtime type corruption and unhandled edge cases.
• Automated Dependency Auditing: Continuous automated vulnerability scanning of npm/Node.js packages via Snyk and GitHub Dependabot alerts.
• Zero Hardcoded Secrets: Environment isolation enforced with runtime secret rotation and encrypted secret managers.

02.AI System Security & RAG Governance

For artificial intelligence pipelines, vector databases, and LLM orchestration:

• Prompt Injection Defense: Input sanitization and heuristic boundary filters on all user prompts before forwarding to LLM completions.
• Vector Embedding Isolation: Tenant-specific partitioning keys ensure vectors cannot be queried across tenant boundaries.
• Model Fallback Handlers: Resilient exponential backoff and secondary model switching to guarantee 99.9% pipeline availability during upstream outages.

03.Database Architecture & Backups

Relational and document storage architectures are configured with production durability:

• Automated Snapshots: Daily encrypted snapshot backups with point-in-time recovery (PITR).
• Schema Migration Validation: Safe schema evolution using transactional migrations and dry-run verifications.
• Parameterized Queries: Full ORM/ODM query sanitization to render SQL/NoSQL injection impossible.

04.Responsible Disclosure Protocol

If you believe you have identified a potential security vulnerability within any Fullness Labs platform or open-source utility, we appreciate your responsible disclosure.