LLM AI Security and Governance Checklist: 20 Items (2026) for Prompt Injection, RAG and Permissions
A 20-item security and governance checklist for launching LLM and AI agents: prompt injection tests, RAG access control, tool permissions, audit logs and a NIST AI RMF mapping, in one table.
Complete Defense Against Critical Security Threats in RAG Systems: A Guide to Building an LLM Guardrails Architecture
RAG-based LLM applications are powerful, but they are exposed to serious security threats such as prompt injection and data leakage. This guide presents OWASP-based multi-layered defense strategies and methods for building input/output vali
Five Security Vulnerabilities in LangChain/LlamaIndex LLM Services and How to Defend Against Them
LLM applications are powerful, but they are exposed to a range of security threats—from prompt injection to abuse of external tool-calling privileges. This guide covers five critical vulnerabilities you must address when using LangChain and
LLM Services: A Guide to Building an Operations Architecture That Avoids Cost Bombs and Locks Down Security
This post presents a practical operations architecture that simultaneously solves LLM adoption’s two biggest challenges: exploding costs and security vulnerabilities. From token optimization to prompt-injection defense, here’s a roadmap for
New Security Threats in the Age of AI: LLM Attack Patterns and Defense Strategies
As LLMs such as ChatGPT, Claude, and Gemini are widely integrated into enterprise services, a new class of security threats has emerged. This post covers OWASP’s LLM Application Top 10, attack patterns like prompt injection, and practical d
Security and Governance Checks Before Moving an LLM from PoC to Production
This article systematically analyzes the security vulnerabilities and governance issues that arise when applying LLMs to real business operations. It offers practical guidance covering prompt injection defense, RAG data-leak prevention, and