Drel is AI security review software that helps teams assess and approve AI systems before production. It enables structured security evaluations for AI, retrieval-augmented generation, and agentic systems, producing actionable outputs like production blockers, required controls, evidence grading, and multi-stakeholder sign-offs. Drel offers five clearance states: proceed, conditional, restricted pilot, hold, or decline. The platform includes AI-specific threat modeling aligned with frameworks like OWASP LLM Top 10, NIST AI RMF, and ISO 42001. Its evidence grading system tracks claim confidence across explicit, inferred, assumed, unknown, missing, or verified categories. Audit-ready records document rationale, sign-offs, and re-review triggers. Drel addresses gaps traditional tools miss, such as evaluating LLM trust boundaries, retrieval authorization, and agentic tool use, delivering evidence-backed clearance decisions instead of generic reports.