Intel / article

AI Security Priorities: A Field-Wide Agenda

Source: arxiv.org
Author: 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
Date: Published Jul 30, 2026

Context

AI Security Priorities offers an expert-ranked agenda for deciding where to invest security effort. Its authors combined structured interviews across industry, government and civil society with a workshop that ranked proposed priorities by importance and cost-effectiveness. The resulting agenda connects technical defenses with policy, institutional coordination and oversight of agents facing adversaries. These rankings represent participants' judgments about promising work, rather than measured reductions in security incidents. The authors present it as an initial practical foundation for coordinated investment, including for newcomers looking for concrete contributions. Paper abstract.

Key takeaways · AI-distilled

The agenda splits AI security into four buckets: policy foundations, public-private coordination and institutions, technical security engineering and assurance, and governing agentic AI under adversarial pressure — agents treated as a problem apart from model safety.
Priorities were ranked on two axes at once, importance and cost-effectiveness, so the list surfaces cheap high-leverage work rather than only the biggest problems. The inputs were structured interviews across industry, government, and civil society, then a cross-sector workshop.
Each priority is written up the same way — define the problem, assess the current landscape, name actionable projects — which is a deliberate move to make the field enterable, so newcomers can pick up concrete work instead of only established practitioners.

Key quotes

“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.”

“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.”

Read the source arxiv.org