Prompt-Injection

Comprehensive AI / LLM Security Guide 🆕 Enhanced May 2, 2026 - Updated with rapid-exploitation CVEs and AI security analysis including LLM prompt injection, jailbreak techniques, and agentic system vulnerabilities. A practitioner’s reference for securing Large Language Model and agentic AI systems — attack surface, exploitation techniques, real-world CVE chains, payloads, and layered detection/prevention. Compiled from 60 research sources (OWASP, NVIDIA AI Red Team, Unit 42, Lakera/Check Point, NCSC, CrowdStrike/Pangea, Equixly, Anthropic, OpenAI, Microsoft MSRC, Google, AWS, MITRE ATLAS, Penligent, Red Hat, Pillar Security, JFrog, AuthZed, Trend Micro, Nature, and independent researchers). ...

I run about a dozen MCP servers in my daily workflow. Playwright for browser automation, Raindrop for bookmarks, Todoist for tasks, a couple of custom ones. Every time I start a Claude Code session, my agent loads all of their tool descriptions into context and uses them to decide what to call. Last month I started thinking about what would happen if one of those tool descriptions was lying to me. ...