Dan Sterling

About the Author

Dan Sterling is a pioneering researcher and security expert specializing in the ethical challenges of artificial intelligence, with a focus on safeguarding large language models from adversarial threats. Drawing from years of experience in cybersecurity and machine learning, Sterling has become a leading voice in the field of AI red teaming, advocating for robust defenses against misuse while promoting innovative techniques for model evaluation. His work bridges technical rigor with practical insights, helping organizations navigate the evolving landscape of AI safety. Through his writings, Sterling demystifies complex concepts, offering actionable strategies for developers, policymakers, and ethicists alike. With a commitment to responsible innovation, he continues to shape the discourse on secure and trustworthy AI systems.