Archive3
Defending Against Data Poisoning Attacks on LLMs: A Comprehensive Guide
Data poisoning attacks can corrupt LLMs during training, fine-tuning, and RAG retrieval.
Jailbreaking LLMs: A Comprehensive Guide (With Examples)
From simple prompt tricks to sophisticated context manipulation, discover how LLM jailbreaks actually work.
Beyond DoS: How Unbounded Consumption is Reshaping LLM Security
OWASP replaced DoS attacks with "unbounded consumption" in their 2025 Top 10.
Red Team Your LLM with BeaverTails
Test your LLM against 700+ harmful prompts across 14 risk categories.
How to run CyberSecEval
Even top models fail 25-50% of prompt injection attacks.
Leveraging Promptfoo for EU AI Act Compliance
The EU AI Act bans specific AI behaviors starting February 2025.
How to Red Team an Ollama Model: Complete Local LLM Security Testing Guide
Running LLMs locally with Ollama? These models often bypass cloud safety filters.
How to Red Team a HuggingFace Model: Complete Security Testing Guide
Open source models on HuggingFace often lack safety training.
Introducing GOAT—Promptfoo's Latest Strategy
Meet GOAT: our advanced multi-turn jailbreaking strategy that uses AI attackers to break AI defenders.
RAG Data Poisoning: Key Concepts Explained
Attackers can poison RAG knowledge bases to manipulate AI responses.