#llm-security
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How to Scan an LLM for Prompt Injection: Tools, Method, and Limits
A working guide to scanning LLM applications for prompt injection: offline probe suites like garak and PyRIT, runtime classifiers like Azure Prompt Shields, and what a clean scan does and does not prove.
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Best Tools to Test AI Chatbot Security in 2026
Garak, PyRIT, Promptfoo, Giskard, and Lakera Red compared as tools to test AI chatbot security across full conversations, not single-shot prompts.
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How to Detect Prompt Injection Vulnerabilities in LLM Apps
A practitioner's guide to detecting prompt injection vulnerabilities: input classifiers, output validators, structural controls, and red-team testing.
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OWASP LLM Top 10 Scanning Checklist: What to Test at Each Layer
An OWASP LLM Top 10 scanning checklist: what to test for each 2025 risk, which open-source scanners cover it (garak, PyRIT, promptfoo), and the gaps.
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Best LLM Vulnerability Scanners 2026: Garak, PyRIT, Promptfoo
A practitioner's guide to the best LLM vulnerability scanners in 2026: Garak, PyRIT, Promptfoo, and Mindgard, plus the specialist and runtime layers around them.
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Open Source LLM Red Teaming Tools: PyRIT, Garak, and HarmBench
A practitioner's guide to the main open source LLM red teaming tools: what PyRIT, Garak, HarmBench, and TextAttack cover and where they fall short.
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PyRIT: Microsoft's AI Red-Teaming Framework, Explained
A technical breakdown of PyRIT, Microsoft's red-teaming framework for generative AI, covering targets, datasets, orchestrators, converters, and scorers.
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Garak LLM Vulnerability Scanner: How It Works and When to Use It
A technical breakdown of the garak LLM vulnerability scanner: its probe architecture, attack categories, CLI workflow, and how it fits a pre-deployment gate.