LLM

Why Your Retriever Matters More Than Your LLM in RAG

Most RAG data exposure happens before the LLM processes a single token. The retriever decides what sensitive data the model sees, and most teams are not securing it. Here is where the gaps are and how to close them....

Runtime Security for LLM Applications: How to Monitor Prompts, Context, Tools, and Outputs

Strengthen LLM runtime security with LLM application security, LLM output monitoring, LLM attack prevention, and runtime protection for LLM applications....

Model Inversion Attacks in LLMs: What Enterprises Need to Know

Learn about model inversion attacks in LLMs, model inversion attack risks, AI privacy attacks, and ways to protect enterprise AI systems....

Why “Block All PII” Is the Wrong Answer: Handling Sensitive Data in MCP Systems

Learn why blocking all PII in MCP systems reduces functionality and how context-aware data handling ensures security without sacrificing utility....

How RAG System Embeddings Silently Expose Your Sensitive Data

Why Protecto Chose SingleStore as Part of GPTGuard’s Architecture

Traditional RAG risks compliance. GPTGuard, with SingleStore as one choice, delivers secure, accurate enterprise AI without trade-offs....

Should You Trust LLMs with Sensitive Data? Exploring the security risks of GenAI

Unpack the privacy risks of giving LLMs access to sensitive data, from memory leaks to unauthorized exposure—and how to defend against them....

Understanding Common Issues in LLM Accuracy

Explore the challenges of LLM accuracy, including data limitations, reasoning failures, and common issues like hallucinations and bias in AI systems....

Avoid Rookie Mistakes: Tips for Managing LLM Cost

Discover essential tips for managing LLM costs effectively. Avoid common mistakes and optimize expenses while ensuring high performance in AI projects....

7 Best LLM Security Tools in 2026: A Buyer’s Guide to Securing LLM Applications

Compare the best LLM security tools and software for securing LLM-powered apps, scanning vulnerabilities, preventing data leaks, and controlling AI access....