AI Security Priorities: A Field-Wide Agenda
Gil Gekker, Rachel Steratore, Everett Smith, Asher Brass-Gershovich, Varun Gandhi, Nicole Nichols, Vijay Bolina, Buck Shlegeris, Lisa Einstein, Dan Lahav, Omer Nevo, Sella Nevo
Why It Matters
What makes this one worth your time
As AI systems become integral to critical functions, understanding and addressing security priorities is crucial for preventing vulnerabilities and ensuring safe deployment.
A structured agenda for advancing AI security priorities across sectors.
Summary
The paper proposes a prioritized agenda for AI security, based on interviews and a workshop with experts from various sectors, identifying key areas for progress in AI security and organizing them into four themes: strategic foundations, public-private coordination, technical security engineering, and governance of agentic AI.
Key contributions
- Identification and ranking of high-importance areas for AI security.
- Organization of priorities into four thematic areas for strategic action.
Notable insights
- The use of structured interviews and a multi-sector expert workshop to identify and rank AI security priorities.
- Organization of security priorities into thematic areas to guide coordinated efforts.
Possible limitations
- Not stated in the abstract
Abstract
arXiv:2607.26069v1 Announce Type: cross Abstract: As AI systems are rapidly integrated into critical economic, governmental, and national security functions, the gap between AI adoption and AI security readiness continues to widen. This paper presents a prioritized agenda for advancing AI security, informed by structured interviews with leaders across industry, government, and civil society, and refined through a multi-sector expert workshop. Participants identified and ranked the highest-importance and most cost-effective areas where progress could strengthen AI security - from protecting frontier AI systems and their underlying infrastructure to improving cybersecurity practices as AI reshapes the threat landscape. The resulting priorities are organized across four themes: establishing strategic foundations and policy frameworks; advancing public-private coordination and institutional infrastructure; advancing technical security engineering and assurance; and governing agentic AI under adversarial pressure. For each priority area, expert authors provide detailed analyses that define the problem, assess the current landscape, and identify actionable projects that stakeholders across sectors can pursue. The paper aims to serve as an initial practical foundation for coordinated investment and action across the AI security field. It is designed to serve both current practitioners and individuals and organizations looking to enter the field by identifying concrete, high-impact contributions suited to a range of strengths and capacities.