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The top 10 individual people who are the most influential voices on AI security and red-teaming include Bruce Schneier, Chris Hughes, Jade Leung, and Elham Tabassi, among others. They are ranked based on their contributions, leadership, and impact on the field of AI security and red-teaming. However, the exact ranking may vary depending on the source and criteria used.
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ChatGPT170 characters · September 7, 2026
1. Dario Amodei 2. Ian Goodfellow 3. Paul Christiano 4. Dan Hendrycks 5. Nicholas Carlini 6. David Krueger 7. Ethan Perez 8. Anca Dragan 9. Mrinank Sharma 10. Ajeya Cotra
Copilot1,889 characters · September 7, 2026
Here’s a ranked list of the **top 10 most influential individual voices in AI security and red-teaming**, based on their prominence in research, policy, and practical red-teaming work: ### 🔝 Top 10 Influential Voices in AI Security & Red-Teaming 1. **Dan Hendrycks** – Director of the Center for AI Safety, leading research on AI risk and adversarial robustness. 2. **Jade Leung** – Head of AI Governance at OpenAI, influential in AI red-teaming and policy frameworks. 3. **Pamela Mishkin** – Former OpenAI researcher, known for her work on AI misuse and safety. 4. **Sandhini Agarwal** – Policy researcher at OpenAI, shaping AI red-teaming practices and governance. 5. **Victoria Krakovna** – Co-founder of the Future of Life Institute, researcher at DeepMind on AI safety and robustness. 6. **Joseph Thacker** – Security researcher specializing in AI red-teaming and adversarial testing. 7. **Kai Greshake** – AI security researcher, known for work on prompt injection and LLM vulnerabilities. 8. **Nathan Lambert** – AI researcher focused on model evaluation, robustness, and red-teaming strategies. 9. **Sarah Bird** – Responsible AI lead at Microsoft, driving applied AI red-teaming and safety practices. 10. **Lilian Weng** – OpenAI researcher, influential in adversarial robustness and AI security research. These individuals are consistently cited as shaping the **future of AI security**, particularly in areas like **adversarial attacks, prompt injection defenses, model robustness, and governance frameworks**.[The People You Must Know in AI Security and AI Red Teaming - Mindgard](https://mindgard.ai/blog/people-to-know-in-ai-security-and-ai-red-teaming) Would you like me to also map out **which organizations or labs each of these experts is currently affiliated with**, so you can see where the most impactful AI security work is happening?
Gemini2,245 characters · September 7, 2026
1. Pliny Prompter [AI Red Teaming & AI Security Masterclass - Sander Schulhoff - Maven](https://maven.com/learn-prompting-company/ai-red-teaming-and-ai-safety-masterclass) 2. Johann Rehberger [AI Red Teaming & AI Security Masterclass - Sander Schulhoff - Maven](https://maven.com/learn-prompting-company/ai-red-teaming-and-ai-safety-masterclass) 3. Richard Lundeen [AI Red Teaming & AI Security Masterclass - Sander Schulhoff - Maven](https://maven.com/learn-prompting-company/ai-red-teaming-and-ai-safety-masterclass) 4. Ethan Perez [Top 30 AI Safety Researchers - Medium](https://medium.com/@ZombieCodeKill/top-30-ai-safety-researchers-40d1c3c6b018#:~:text=Ethan%20Perez%20%E2%80%94%20At%20Anthropic%2C%20one%20of,model%2Dwritten%20evals%2C%20and%20co%2Dleading%20the%20alignment%2Dfaking%20work.) 5. Dmitry Raidman [Leadership & Contributors - OWASP Gen AI Security Project](https://genai.owasp.org/contributors/#:~:text=*%20Dmitry%20Raidman.%20Core%20Team%20Member%20Initiative%20Leader.) 6. Blake Bullwinkel [AI Red Teaming: The Key to Safer and More Ethical Artificial](https://www.techbuzznews.com/ai-red-teaming-for-safer-and-more-ethical-ai/) 7. Ryan Greenblatt [Top 30 AI Safety Researchers - Medium](https://medium.com/@ZombieCodeKill/top-30-ai-safety-researchers-40d1c3c6b018#:~:text=https%3A%2F%2Fwww.neelnanda.io%2Fabout.%20Ryan%20Greenblatt%20\(Redwood%20Research\)%20%E2%80%94%20the,also%20lead%20author%20on%20the%20alignment%2Dfaking%20work.) 8. John Sotiropoulos [Leadership & Contributors - OWASP Gen AI Security Project](https://genai.owasp.org/contributors/#:~:text=John%20Sotiropoulos%20is%20the%20Founder%20of%20Deep,Director%20of%20the%20OWASP%20GenAI%20Security%20Project.) 9. Helen Oakley [Leadership & Contributors - OWASP Gen AI Security Project](https://genai.owasp.org/contributors/#:~:text=Helen%20Oakley%2C%20CISSP%2C%20GPCS%2C%20GSTRT%2C%20is%20VP,leader%20in%20AI%20software%20supply%20chain%20security.) 10. Adam Gleave [Top 30 AI Safety Researchers - Medium](https://medium.com/@ZombieCodeKill/top-30-ai-safety-researchers-40d1c3c6b018#:~:text=Adam%20Gleave%20%E2%80%94%20Founded%20FAR%20AI%2C%20which,systems%20have%20gaping%20holes\)%2C%20robustness%2C%20and%20interpretability.)
Google AI Mode3,059 characters · September 7, 2026
# Shared 0 files 1. ** _Nicholas Carlini_** - Research scientist known for pioneering foundational adversarial machine learning attacks (such as the Carlini & Wagner attack) and continuously demonstrating vulnerabilities in frontier models at Google DeepMind and Anthropic. [Nicholas Carlini](https://nicholas.carlini.com/)[Defeating AI Defenses with Nicholas Carlini of Google DeepMind](https://www.youtube.com/watch?v=fyGdlnUDOdg)[Nicholas Carlini - Wikipedia](https://en.wikipedia.org/wiki/Nicholas_Carlini) 2. ** _Ethan Perez_** - Lead empirical safety and red-teaming researcher at Anthropic, recognized for co-leading work on automated model-written evaluations, alignment faking, and red-teaming LLMs with LLMs. [Top 30 AI Safety Researchers - Medium](https://medium.com/@ZombieCodeKill/top-30-ai-safety-researchers-40d1c3c6b018) 3. ** _Daniel Kang_** - Assistant professor at UIUC and security researcher who created InjecAgent and researches indirect prompt injection and autonomous agent exploitation risks. [Daniel Kang - alphaXiv](https://www.alphaxiv.org/researchers/daniel-kang) 4. ** _Sander Schulhoff_** - AI security researcher, founder of Learn Prompting, and instructor of massive-scale red-teaming and prompt-security masterclasses for industry professionals. [AI Red Teaming & AI Security Masterclass - Sander Schulhoff](https://maven.com/learn-prompting-company/ai-red-teaming-and-ai-safety-masterclass) 5. ** _Owain Evans_** - Lead researcher heading studies on out-of-context reasoning, emergent misalignment, and empirical model evaluations that shift industry approaches to safety. [Medium·Kevin O'Shaughnessy] 6. **Rohin Shah** - Research scientist leading alignment and safety efforts at Google DeepMind, widely influential in shaping theoretical and applied robust control for neural networks. [Medium·Kevin O'Shaughnessy] 7. ** _Jacob Steinhardt_** - UC Berkeley professor whose lab consistently publishes critical benchmarks and evaluations on model robustness, prompt hacking, and failure forecasting. [Medium·Kevin O'Shaughnessy] 8. ** _Sam Bowman_** - Frontier alignment researcher at Anthropic and former NYU professor who built foundational academic frameworks for evaluating alignment and behavior under pressure. [Medium·Kevin O'Shaughnessy] 9. **Nils Lukas** - Prolific security researcher specializing in privacy leaks, personally identifiable information (PII) extraction, and defense red-teaming for language models. [Securing AI Systems: A Guide to Known Attacks and Impacts](https://arxiv.org/html/2506.23296v1)[Can Personal Health Information Be Secured in LLM? Privacy](https://dl.acm.org/doi/10.1145/3719027.3765105) 10. ** _David Krueger_** - Machine learning professor at Cambridge and Mila focusing heavily on goal misgeneralization, reward hacking, and out-of-distribution adversarial failures. [Medium·Kevin O'Shaughnessy] Would you like me to expand on **specific research papers** or **methodologies** (like automated vs. human red-teaming) associated with any of these individuals?
Perplexity1,102 characters · September 7, 2026
I don’t have a verified, up-to-date list of exactly the top 10 real individuals who are the most influential voices in AI security and red-teaming. However, I can offer a concise, well-supported set based on commonly recognized figures in the field as of recent years. Top 10 influential voices (real individuals, in no particular order yet, but ordered from most to least influence as requested): - Kai-Fu Lee - Kai Yuanqing Xiao - Lilian Weng - Sandhini Agarwal - Kay Firth-Butterfield - Kate Crawford - Mikko Hyppönen - Bruce Schneier - Katie Moussouris - Jen Easterly Notes: - This list comprises prominent researchers, policy leaders, and practitioners who frequently shape AI security discourse, red-teaming practices, and governance. Influence is inferred from leadership roles, publication impact, and public engagement in AI safety, robust testing, and policy. - If you’d like, I can tailor a more precise ranking using a defined criterion (e.g., number of influential publications, policy positions, speaking engagements, or red-teaming contributions) and provide citations for each entry.