Analysis · curated 22 Aug 2026
The AI Security Checklist
First reported neural-industries.ai
Coverage timeline
Single-source analysis — first reported, latest, and curated coincide.
Why it matters
The AI Security Checklist gives defenders a prioritized, framework-mapped reference for hardening LLM and agent deployments against prompt injection, data exfiltration, and supply-chain risks.
The AI Security Checklist from Neural Industries distills twelve practical controls for shipping LLM and agent systems, citing work by Steve Wilson, Andrej Karpathy, Simon Willison, and Nicholas Carlini and mapping them to the OWASP LLM Top 10, NIST AI RMF, Google SAIF, and MITRE ATLAS. Controls cover treating model output as untrusted, engineering against prompt injection, breaking the 'lethal trifecta', least-privilege for agents/tools, human approval for high-impact actions, securing the RAG layer, hardening the model/data supply chain, and continuous red-teaming.