The Linux Foundation has issued a Request for Comments on a newly proposed framework aimed at standardizing how the cybersecurity industry handles agentic AI incidents.
Announced at the Black Hat conference in Las Vegas, the Shared AI Findings Exchange (SAFE) guidelines seek to turn AI security incidents and near misses into actionable threat intelligence for the broader ecosystem.
The SAFE framework is being driven by the recently launched Open Secure AI Alliance, a coalition that has grown to over 120 organizations.
The SAFE initiative is spearheaded by Open Secure AI Alliance members such as Nvidia, Cisco, CrowdStrike, Hugging Face, and Red Hat. The core objective is to establish a confidential pipeline for collecting incident data, analyzing control failures, and broadcasting evidence-based recommendations to reduce systemic risks.
Because modern AI agents function as complex systems reliant on identity controls, runtimes, and execution harnesses, the alliance emphasizes that open intelligence sharing is the only way defenders can match the speed of emerging attack vectors.
