<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>AI Moderation Tools</title><description>Reviews and benchmarks of content-moderation and safety tooling for LLM applications. Llama Guard, NeMo Guardrails, OpenAI Moderation, Perspective API, custom classifier patterns — what works, what regresses, what costs more than it saves.</description><link>https://aimoderationtools.com/</link><language>en</language><item><title>Best AI Content Moderation Tools 2026: Platform Comparison</title><link>https://aimoderationtools.com/posts/best-ai-content-moderation-tools-2026/</link><guid isPermaLink="true">https://aimoderationtools.com/posts/best-ai-content-moderation-tools-2026/</guid><description>A practitioner&apos;s comparison of the best AI content moderation tools in 2026 — Azure AI Content Safety, Hive Moderation, AWS Rekognition, Perspective API</description><pubDate>Sat, 13 Jun 2026 00:00:00 GMT</pubDate><category>content-moderation</category><category>ai-safety</category><category>trust-and-safety</category><category>text-moderation</category><category>image-moderation</category><author>AI Moderation Tools Editorial</author></item><item><title>Fine-Tuned Classifiers vs. Off-the-Shelf Moderation APIs: Cost &amp; Tradeoffs</title><link>https://aimoderationtools.com/posts/fine-tuned-classifiers-vs-moderation-apis/</link><guid isPermaLink="true">https://aimoderationtools.com/posts/fine-tuned-classifiers-vs-moderation-apis/</guid><description>Off-the-shelf moderation APIs are cheap to start and expensive to outgrow. Fine-tuned classifiers are the reverse.</description><pubDate>Wed, 13 May 2026 00:00:00 GMT</pubDate><category>content-moderation</category><category>classifier</category><category>production</category><category>cost</category><category>llm-safety</category><author>AI Moderation Tools Editorial</author></item><item><title>Image &amp; Video Content Moderation Tools (2026)</title><link>https://aimoderationtools.com/posts/image-video-content-moderation-tools-2026/</link><guid isPermaLink="true">https://aimoderationtools.com/posts/image-video-content-moderation-tools-2026/</guid><description>Text moderation gets the attention, but image and video are where the hard moderation problems live. A practitioner&apos;s map of the major tools — cloud APIs</description><pubDate>Mon, 11 May 2026 00:00:00 GMT</pubDate><category>content-moderation</category><category>multimodal</category><category>image-moderation</category><category>video-moderation</category><category>production</category><author>AI Moderation Tools Editorial</author></item><item><title>Llama Guard vs Llama Guard 2 vs Llama Guard 3: The Lineage, Clarified</title><link>https://aimoderationtools.com/posts/llama-guard-versions-compared/</link><guid isPermaLink="true">https://aimoderationtools.com/posts/llama-guard-versions-compared/</guid><description>Meta&apos;s Llama Guard series gets cited loosely, often with the wrong base model or category count. Here&apos;s the verified lineage — base models, taxonomies</description><pubDate>Sat, 09 May 2026 00:00:00 GMT</pubDate><category>llama-guard</category><category>content-moderation</category><category>safety-classifier</category><category>llm-safety</category><category>meta</category><author>AI Moderation Tools Editorial</author></item><item><title>Perspective API: Good at Its Original Job, Wrong for LLM Safety</title><link>https://aimoderationtools.com/posts/perspective-api-honest-review/</link><guid isPermaLink="true">https://aimoderationtools.com/posts/perspective-api-honest-review/</guid><description>Jigsaw&apos;s Perspective API has 8+ years of production data on toxicity detection. For community content moderation it remains strong.</description><pubDate>Wed, 06 May 2026 00:00:00 GMT</pubDate><category>perspective-api</category><category>google-jigsaw</category><category>toxicity-detection</category><category>content-moderation</category><category>llm-safety</category><author>AI Moderation Tools Editorial</author></item><item><title>Content Moderation for RAG: The Retrieval Layer Is an Attack Path</title><link>https://aimoderationtools.com/posts/content-moderation-for-rag-applications/</link><guid isPermaLink="true">https://aimoderationtools.com/posts/content-moderation-for-rag-applications/</guid><description>RAG pipelines have a moderation problem at the retrieval layer that input/output classifiers don&apos;t address. Injected content in retrieved documents can</description><pubDate>Tue, 05 May 2026 00:00:00 GMT</pubDate><category>rag</category><category>retrieval-augmented-generation</category><category>content-moderation</category><category>prompt-injection</category><category>llm-safety</category><author>AI Moderation Tools Editorial</author></item><item><title>Classifier Ensembles for Production Content Moderation</title><link>https://aimoderationtools.com/posts/classifier-ensemble-production-moderation/</link><guid isPermaLink="true">https://aimoderationtools.com/posts/classifier-ensemble-production-moderation/</guid><description>Single classifiers have characteristic failure modes. Ensembles that combine models with different architectures and training distributions reduce</description><pubDate>Tue, 05 May 2026 00:00:00 GMT</pubDate><category>ensemble</category><category>classifier</category><category>content-moderation</category><category>llm-safety</category><category>architecture</category><category>production</category><author>AI Moderation Tools Editorial</author></item><item><title>False Positive Costs in Content Moderation: How to Measure Them</title><link>https://aimoderationtools.com/posts/false-positive-costs-content-moderation/</link><guid isPermaLink="true">https://aimoderationtools.com/posts/false-positive-costs-content-moderation/</guid><description>False positives in content moderation drive hidden costs: user abandonment, review-queue spend, appeal load. Learn how to quantify them and calibrate</description><pubDate>Mon, 04 May 2026 00:00:00 GMT</pubDate><category>false-positives</category><category>content-moderation</category><category>accuracy</category><category>user-experience</category><category>ops</category><category>llm-safety</category><author>AI Moderation Tools Editorial</author></item><item><title>OpenAI Moderation API Review: Strengths and Real Gaps</title><link>https://aimoderationtools.com/posts/openai-moderation-api-review/</link><guid isPermaLink="true">https://aimoderationtools.com/posts/openai-moderation-api-review/</guid><description>An honest OpenAI Moderation API review: fast (~20ms) and free with credits, strong category breadth, but predictable gaps on obfuscated text, context, and</description><pubDate>Mon, 04 May 2026 00:00:00 GMT</pubDate><category>openai-moderation</category><category>content-moderation</category><category>api-review</category><category>llm-safety</category><category>production</category><author>AI Moderation Tools Editorial</author></item><item><title>Llama Guard Benchmark Review: Real Performance vs. Vendor Claims</title><link>https://aimoderationtools.com/posts/llama-guard-benchmark-review/</link><guid isPermaLink="true">https://aimoderationtools.com/posts/llama-guard-benchmark-review/</guid><description>Meta&apos;s Llama Guard series has become a default choice for open-source content moderation. Benchmarks on the standard test sets look strong.</description><pubDate>Sun, 03 May 2026 00:00:00 GMT</pubDate><category>llama-guard</category><category>content-moderation</category><category>benchmark</category><category>safety-classifier</category><category>llm-safety</category><category>meta</category><author>AI Moderation Tools Editorial</author></item><item><title>NeMo Guardrails in Production: What It Does Well; Where It Fails</title><link>https://aimoderationtools.com/posts/nemo-guardrails-production-review/</link><guid isPermaLink="true">https://aimoderationtools.com/posts/nemo-guardrails-production-review/</guid><description>NVIDIA&apos;s NeMo Guardrails offers conversation-flow control that classifiers can&apos;t provide. The deployment complexity is real.</description><pubDate>Sun, 03 May 2026 00:00:00 GMT</pubDate><category>nemo-guardrails</category><category>nvidia</category><category>conversation-control</category><category>llm-safety</category><category>guardrails</category><category>production</category><author>AI Moderation Tools Editorial</author></item></channel></rss>