Free Secure AI Deployment Checklist
Self-assess your LLM/AI app's security controls across prompt safety, output handling, RAG access, agent permissions, supply chain, abuse limits and governance — and get a prioritised, risk-weighted gap plan. Free, from Neurobyte.
About this assessment
Shipping an LLM or AI feature responsibly means more than a clever prompt — it means controls across prompt safety, output handling, retrieval (RAG) access, agent permissions, supply chain, abuse limits and governance. This free secure AI deployment checklist lets you self-assess your application against those areas and returns a prioritised, risk-weighted gap plan so you know what to fix first.
It's built for product and engineering teams putting AI into production who need a structured security baseline aligned with the OWASP LLM Top 10. Work through the checklist to surface blind spots before they become incidents. Neurobyte can help design and review AI systems for teams that want expert assurance.
Frequently asked questions
What does the secure AI checklist cover?
Controls across prompt safety, output handling, RAG/data access, agent and tool permissions, supply-chain integrity, abuse and rate limiting, and governance — the areas that determine whether an LLM application is safe to ship.
Is it aligned with the OWASP LLM Top 10?
Yes. The checklist maps to the risk areas in the OWASP Top 10 for LLM Applications, so the gaps it surfaces correspond to recognised, real-world AI security risks.
Can Neurobyte review our AI system?
Yes. We assess and help harden AI and LLM applications — from prompt and agent design to access controls and monitoring. Contact us for an expert review.