Rachel C. James is a pioneering AI security engineer and governance architect with a career built at the frontier of machine learning and adversarial risk. Before “AI security engineer” was even a recognised job title, Rachel was building anomaly detection and beaconing models in TensorFlow and PyTorch — grounding her governance work in deep technical fluency.

At AbbVie, she serves as Chair of the Enterprise AI Governance Committee and core member of the AI Enablement Community of Specialists. She authored the Agentic Controls Framework that governs all AI deployments across the organisation — a document that reflects both her engineering depth and her systems-level thinking.

As Prompt Injection Lead for the OWASP GenAI Top 10 and Threat Intelligence Co-Lead, Rachel helps write the standards that AI Governance Officers will themselves be audited against. Her adjunct research role at RAND extends that influence into policy, where she conducts highly technical research into AI testing, red teaming, and adversarial AI use.

She also builds agentic applications for threat and risk management — closing the loop between policy, research, and working software.