Archive

The text provides a comprehensive overview of various topics revolving around AI security and the challenges associated with large language models (LLMs) from January 2024 to December 2025. It delves into issues such as jailbreaking, data poisoning attacks, misinformation, and the security risks of deploying different AI models like DeepSeek, Claude, and GPT. The importance of red teaming is emphasized, with detailed guides on testing various AI models' security, including those from Anthropic, Google, and OpenAI. Promptfoo emerges as a significant player in AI security, raising funds to enhance AI applications' security infrastructure and achieving certifications like SOC 2 Type II and ISO 27001. The discussion also explores the differences between AI safety and security, the potential for AI-orchestrated cyberattacks, and the need for secure LLMs as AI autonomy and agency increase. Additionally, the text covers developments in AI evaluation, LLM bias, toxicity prevention, and the introduction of tools like Promptfoo's GOAT strategy and BeaverTails for red teaming.