The Linux Foundation has released a draft of the Shared AI Findings Exchange, or SAFE, a proposed set of guidelines aimed at turning cybersecurity incidents in agentic AI into shared defensive capabilities for the wider ecosystem. The draft was announced as the annual Black Hat security conference opened in Las Vegas, according to NVIDIA’s blog.
The effort is being developed through the Open Secure AI Alliance, which now has more than 120 member organizations. The SAFE guidelines were drafted by a working group within the alliance, with support for the initial proposal coming from Linux Foundation collaborators including NVIDIA, Cisco Systems, CrowdStrike, Hugging Face and Red Hat.
The draft lays out several recommended practices. These include collecting and analyzing AI security incidents and “near misses” in a confidential manner, notifying affected parties, identifying recurring failures in security controls, and issuing evidence-based operational guidance designed to reduce risk across the broader system.
The Linux Foundation has published a draft of the Shared AI Findings Exchange, or SAFE, a proposed framework meant to convert cybersecurity incidents in agentic AI into shared defensive capabilities across the ecosystem.
According to NVIDIA’s blog, the release came as the annual Black Hat security conference opened in Las Vegas. Members of the Open Secure AI Alliance are working on new guidance intended to strengthen cybersecurity protections for agentic AI.
The alliance now includes more than 120 organizations. SAFE was drafted by a working group under the Open Secure AI Alliance. NVIDIA, Cisco Systems, CrowdStrike, Hugging Face and Red Hat are among the alliance members working with the Linux Foundation to support the initial proposal.
The draft includes several recommended measures: confidential collection and analysis of AI security incidents and “near misses,” notification of affected parties, identification of recurring failures in security controls, and the publication of evidence-based operational recommendations to reduce risk across the broader system.
This article was originally published by Bit.Fan. For more cryptocurrency news and market insights, visit www.bit.fan. Disclaimer:
The market information, project data, and third-party content displayed on this platform are for industry information sharing only and do not constitute any form of investment advice or return commitment.
Cryptocurrency trading carries high risks. Users should fully assess their risk tolerance and make independent decisions. All profits, losses, and legal responsibilities are borne by the users themselves.
