LLM Security Blog
Expert insights on AI security, prompt injection prevention, and best practices for protecting your LLM applications.
Featured Articles
EU AI Act Compliance for LLM Applications: The Enterprise Checklist (2026 Deadlines)
The August 2026 EU AI Act enforcement deadline is approaching. This complete guide covers high-risk classification, GPAI obligations, Article 15 cybersecurity requirements, and a 30-question compliance checklist for enterprise LLM deployers.
LLM Evals: The Complete Guide to Evaluating AI Models — With OpenAI, Claude & Security Examples
Evals are the unit tests of the AI world. Learn what they are, why they matter, and how to build them using OpenAI's Evals API, Anthropic's Console, Promptfoo, and DeepEval — with a deep focus on security evaluations that catch regressions before production.
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LLM Red Teaming Playbook: Step-by-Step Enterprise Security Testing Guide (2025)
A practical, vendor-neutral playbook for enterprise LLM red teaming. Covers team structure, 7 attack categories, tool comparisons (PyRIT, Garak, Promptfoo, DeepTeam), CI/CD integration, and compliance documentation templates for EU AI Act and NIST AI RMF.
LLM Jailbreaking in 2025: Attack Techniques, Enterprise Risks & Defense Strategies
Automated jailbreaking tools now achieve near-100% success rates against leading models. This guide covers the 8 major jailbreak technique families active in 2025 — many-shot, cipher attacks, multi-turn decomposition, and more — alongside multi-layer defense architecture and detection strategies for enterprise deployments.
RAG Security: Threat Model, Attack Vectors & Hardening Guide for Enterprise AI (2025)
Retrieval-Augmented Generation (RAG) introduces a retrieval layer that fundamentally changes the LLM threat model. This guide covers knowledge base poisoning, embedding inversion attacks, indirect prompt injection via retrieved documents, and a complete secure RAG architecture for enterprise deployments.
Agentic AI Security: The Complete Enterprise Guide to Securing LLM Agents (2025)
AI agents that take autonomous actions — browsing the web, calling APIs, writing code — face a fundamentally different threat landscape than chat interfaces. This guide covers the full agentic threat model: tool poisoning, indirect injection via tool outputs, MCP security risks, multi-agent trust, and guardrail architecture.
Real-World AI Security Breaches: 7 Incidents Every CISO Should Study
From EchoLeak's zero-click data theft in Microsoft 365 Copilot to ShadowLeak silently draining Gmail through ChatGPT — these 2025 AI security incidents reveal the attack patterns every security leader must understand before their next deployment.
LLMjacking: The $100K-Per-Day Attack Draining Enterprise AI Budgets
LLMjacking is a rapidly growing attack where hackers steal cloud credentials to abuse LLM APIs — racking up over $100,000/day in charges. Learn how Operation Bizarre Bazaar exposed a criminal supply chain and what you can do to protect your AI infrastructure.
RAG Security: Complete Guide to Securing Retrieval-Augmented Generation Systems
Learn how to secure RAG (Retrieval-Augmented Generation) systems. Covers vector database security, RAG prompt injection, knowledge base poisoning, embedding attacks, and best practices for production deployments.
AI Agent Security: Complete Guide to Securing Autonomous Agents (2026)
Comprehensive guide to securing AI agents and autonomous systems. Learn about agent vulnerabilities, multi-agent security, tool manipulation attacks, and defense strategies for production deployments.
AI Hallucination Detection and Prevention: Complete Guide for Production LLMs
Learn how to detect and prevent AI hallucinations in production LLM applications. Covers detection techniques, output validation, fact-checking strategies, and best practices for building trustworthy AI systems.
Top 10 LLM Security Tools: Comprehensive Comparison Guide (2026)
Compare the best LLM security tools and platforms for 2026. Detailed analysis of prompt injection scanners, red team testing platforms, output validators, and comprehensive security solutions for enterprise LLM deployments.
LLM Security in 2026: Emerging Threats and Defense Strategies
Explore the evolving LLM security landscape. From AI-powered attacks and autonomous agent vulnerabilities to deepfake threats and quantum computing risks—what security teams need to know.
OWASP LLM Top 10 Security Risks: The Complete 2025 Guide for AI Developers
Master the OWASP LLM Top 10 framework to protect your AI applications from prompt injection, unbounded consumption, and other critical vulnerabilities. Updated for 2025 with real-world examples.
Prompt Injection Attacks in 2026: Advanced Techniques and Defense Strategies
Deep dive into prompt injection attacks—from basic jailbreaks to sophisticated multi-modal and many-shot techniques. Learn how attackers exploit LLMs and implement effective defenses.
Secure System Prompt Design: Best Practices for Production LLM Applications
Learn how to design system prompts that are both effective and resistant to manipulation. Covers prompt architecture, security context, defense techniques, and testing strategies.
Red Team Testing for LLM Applications: A Practical 2026 Guide
Learn how to red team your LLM applications to identify vulnerabilities before attackers do. Covers testing methodologies, attack simulation, automated testing, and continuous security validation.
AI Security Compliance for Enterprise: SOC 2, GDPR, and the EU AI Act
Navigate AI security compliance requirements including SOC 2, GDPR, HIPAA, and the EU AI Act. Learn how to build compliant LLM applications while maintaining development velocity.