AI is shipping faster than security can assessment it.
We built Drel because we kept seeing the same problem: AI systems going to production without a real security assessment. Not because teams didn't care — because the security playbook hadn't caught up.
Traditional threat modeling was designed for APIs and microservices. It doesn't have a model for RAG retrieval authorization, LLM prompt injection, or agentic tool misuse.
Security architects were either skipping AI assessments entirely or spending days on manual work that should take an hour. Drel generates structured AI security assessment packs — go-live verdicts, threat registers mapped to OWASP LLM, MITRE ATLAS, and MAESTRO, controls with implementation guidance, and a remediation backlog — in minutes.
AI-native, not AI-adapted
We didn't take a generic threat modeling tool and add an LLM section. Drel was built from scratch around the specific trust boundaries, attack surfaces, and failure modes of AI systems.
Specific over comprehensive
A 40-page report that nobody reads is worse than a focused 8-page pack that drives action. Every output is scoped to the system you described — not a generic checklist.
Practitioners, not vendors
We use Drel on our own infrastructure. We're the most demanding customer we have. If something doesn't hold up in a real assessment, we fix it.
See it for yourself.
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