Formal research papers and conferences provide the foundational knowledge for AI security, but the field moves at a pace that demands more immediate sources of information. Professional blogs, newsletters, and podcasts fill this gap, offering timely analysis, practical insights, and expert commentary on emerging threats, techniques, and industry trends. Integrating these resources into your regular information diet is essential for maintaining a current and effective red teaming practice.
The following curated lists are not exhaustive but represent a strong starting point for building your own intelligence feed. They offer a mix of technical deep dives, strategic overviews, and community discussions that are directly relevant to the work of an AI red teamer.
Recommended Blogs and Newsletters
Written content often allows for greater technical depth and provides links to source materials, making it invaluable for detailed research.
| Resource | Primary Focus | Value for AI Red Teamers |
|---|---|---|
| Trail of Bits Blog | High-assurance security, cryptography, and systems security. | Publishes exceptional, in-depth research on securing complex systems. Their posts on ML security and supply chain attacks are required reading. |
| NCC Group Research Blog | Applied cybersecurity research across various domains. | Features practical explorations of new attack surfaces, including those in AI/ML systems. They often translate theoretical attacks into demonstrable PoCs. |
| ML Safety Newsletter | AI safety, alignment, and robustness research. | A curated summary of the most important academic papers in ML safety. Crucial for understanding the theoretical underpinnings of many model vulnerabilities. |
| Import AI | Weekly AI industry news and analysis. | Provides essential context on the capabilities and limitations of new models. Understanding the “state of the art” helps you anticipate future threats. |
| Garbage Day | Internet culture, misinformation, and online communities. | While not strictly technical, this newsletter offers critical insight into how LLMs and generative AI are being used and abused in the wild, informing social engineering and misuse testing. |
| Adversarial ML Threat Matrix Blog | Mapping ML attacks to a common framework. | Directly supports operational red teaming by providing a structured language and methodology for planning and reporting on adversarial ML engagements. |
Essential Podcasts
Podcasts provide a different learning modality, perfect for absorbing expert conversations and high-level analysis during commutes or other activities.
| Resource | Primary Focus | Value for AI Red Teamers |
|---|---|---|
| The AI Breakdown | Daily news and analysis of the AI landscape. | Offers a quick, comprehensive daily briefing on major developments. Essential for staying current without spending hours reading news. |
| Darknet Diaries | True stories from the dark side of the internet. | Cultivates the red team mindset. The stories of hacking, social engineering, and system exploitation provide invaluable lessons in adversarial thinking. |
| Practical AI | Making AI accessible and applicable. | Focuses on the implementation details of AI systems. Understanding how models are built, deployed, and managed is key to finding their weaknesses. |
| Security Now | Weekly deep dives into cybersecurity topics. | While a generalist security podcast, it frequently covers the security implications of AI, often providing a skeptical and technically grounded perspective. |
| Eye on A.I. | Interviews with leaders and researchers in the AI field. | Provides insight into the strategic thinking behind AI development at major organizations, helping you understand developer motivations and potential blind spots. |
Remember that the landscape of creators and commentators is constantly shifting. Use these recommendations as a foundation, but remain curious. Follow links, explore who experts are citing, and continuously refine your sources to ensure you are receiving the most relevant and highest-quality information available.