Research / Sources
Policy research on advanced AI security and governance. www.iaps.ai
IAPS report arguing that AI agents orchestrating cyberattacks will be harder to detect than traditional attacks, and proposing a detection-in-depth framework with agent identifiers and honeypots for policymakers and defenders.
This IAPS report proposes three differential access approaches that let frontier AI developers tilt dual-use cyber capabilities toward defenders, with a framework for choosing among them based on risk.
Argues that Southeast Asian countries should join AI governance and safety discussions by engaging the public and building local AI research capacity, citing contextualized safety approaches in the region.
Proposes adapting cybersecurity frameworks (functional, lifecycle, and threat-based approaches) to help frontier AI developers and policymakers identify gaps in managing AI risks.