Tag
#guardrails
19 posts tagged guardrails.
- deep-dive
Constitutional AI Explained: How Principle-Based Training Builds Safer Models
Constitutional AI replaces human harm labels with a written set of principles and AI self-critique. Here is how the method works, where it sits in your
- guardrails
LLM Guardrails Explained: What They Are and How to Implement Them
A practitioner's guide to LLM guardrails — the five rail types, what each one actually catches, where each is bypassed, and how to wire a stack that fails
- deep-dive
MCP Tool Poisoning: The Guardrail Layer Most Teams Are Missing
MCP makes every server an injection surface in your LLM app. Tool poisoning, rug-pulls, and the lethal trifecta are live. Here is what to actually defend.
- bypass
G4-MeroMero-31B: Abliteration Drops Refusal Rate 99% to 15%
A new uncensored fine-tune of Gemma 4 31B achieves a 15/100 refusal rate via Arbitrary-Rank Ablation on attention output projections — KL divergence 0.
- tooling
AI Moderation Tools for LLMs: What Works and What Gets Bypassed
A practitioner's comparison of AI moderation tools — AWS Bedrock Guardrails, Azure AI Content Safety, Lakera Guard, NeMo Guardrails, and Llama Guard —
- alignment
LLM Alignment Evaluation: Why Benchmarks Don't Predict Safety
Practitioners rely on alignment benchmarks that miss the attack surface that matters: agentic tasks, implicit harm, and low-resource languages.
- tooling
AI Safety Tools: A Guide to Guardrails, Filters, and Defenses
A practitioner's breakdown of the leading AI safety tools — NeMo Guardrails, LLM Guard, Llama Guard, and managed platforms — with benchmark data, known
- guardrails
ChatGPT Safety: How OpenAI's Guardrails Work and Fail
ChatGPT safety explained: how RLHF, Rule-Based Rewards, safe-completions, and the Moderation API work, plus the jailbreaks that defeat each layer.
- alignment
LLM Alignment: What It Does, Where It Breaks, How to Deploy
LLM alignment trains models to internalize safety constraints — but every technique has documented bypass paths.
- tooling
LLM Guardrails: Comparing Tools and Implementation Patterns
A practical comparison of LLM guardrail implementations — classifiers, rule engines, LLM judges — with empirical bypass rates and deployment patterns that
- guardrails
LLM Guardrails: Architecture, Bypasses, and What to Deploy
LLM guardrails are the control layer between a language model and the real world. This guide covers how they work, how they fail under adversarial
- defense-in-depth
LLM Safety: What It Actually Means and How to Build It
LLM safety spans alignment training, inference-time guardrails, and external filters — each with known failure modes.
- tooling
LLM Security Tools: A Practical Guide to the Current Stack
A working guide to LLM security tools for 2026 — covering red-teaming frameworks, runtime guardrails, and observability layers, with honest notes on what
- tooling
Content Moderation AI Tools: Benchmarks, Bypasses, and Deployment
A practitioner's comparison of leading content moderation AI tools — OpenAI Moderation, Azure AI Content Safety, Llama Guard 4, NeMo Guardrails, and more
- content-filter
AI Content Filter: Architecture, Bypasses, and Layered Defense
A practitioner's breakdown of AI content filter approaches — classifier-based, LLM-as-judge, and guard models — with honest coverage of bypass techniques
- tooling
Content Moderation Tools for LLMs: What Works and Where It Breaks
A practitioner's guide to the leading content moderation tools for LLM applications—OpenAI Moderation API, Llama Guard, Perspective API, and
- deep-dive
OpenAI's Under-18 Principles: An Engineer Reads the Model Spec
OpenAI's December Model Spec adds Root-level Under-18 Principles that bind the model even against jailbreak framing.
- content-filter
AI Content Moderation: How LLM Filters Work and Where They Break
A technical breakdown of AI content moderation for LLM applications — how classifier-based guardrails work, the bypass techniques that defeat them, and
- guardrails
OpenAI's Under-18 Principles: What the New Model Spec Does
OpenAI's December 18 Model Spec adds Under-18 Principles, an age-prediction classifier, and real-time moderation across modalities.