The Open Secure AI Alliance (OSAA), an industry group with over 120 member organizations, has introduced the Shared AI Findings Exchange (SAFE) guidelines. These proposals are designed to standardize the handling of agentic AI cybersecurity incidents and were released for public comment by the Linux Foundation during the Black Hat conference in Las Vegas.
The SAFE guidelines aim to transform AI security incidents and near misses into actionable threat intelligence for the broader ecosystem. The framework includes proposals for confidentially collecting and analyzing AI incidents, informing affected parties, identifying recurring control failures, and publishing evidence-based operating recommendations to mitigate systemic risks.
NVIDIA, Cisco, CrowdStrike, Hugging Face, and Red Hat are among the Open Secure AI Alliance members contributing to the initial SAFE proposal. The alliance emphasizes that open models and open harnesses are crucial for cybersecurity, as they democratize defensive capabilities, increase transparency, and enable cyber defense while protecting data. This approach builds on existing efforts by the Linux Foundation's Akrites initiative and the OpenSSF community.
Open source software is a critical component of the global economy, underpinning various sectors by making technology accessible and observable. For cybersecurity, open source is considered essential for developing transparent and adaptable AI capabilities that defenders can study, adapt, and deploy. The alliance also notes that alongside the policy framework, members have released various open source tools.
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The Linux Foundation, through the Open Secure AI Alliance, has released a Request for Comments on the Shared AI Findings Exchange (SAFE) guidelines to standardize the sharing of agentic AI incident data. This framework aims to convert AI security incidents into actionable threat intelligence to mitigate systemic risks across the industry.
The Open Secure AI Alliance (OSAA), led by Nvidia and comprising over 120 companies, has formed a working group called the Shared AI Findings Exchange (SAFE) and released initial proposals for public comment. These proposals focus on reporting AI cybersecurity incidents and facilitating blame-free analysis, aiming to establish open-source methods for securing AI agents and defending against attacks.
The Open Secure AI Alliance, with over 120 organizations, is developing Shared AI Findings Exchange (SAFE) guidelines to enhance agentic AI cybersecurity. These guidelines aim to establish a framework for confidentially collecting and analyzing AI incidents to reduce systemic risks across the ecosystem.
The Open Secure AI Alliance has been formed to develop and promote open source AI models and tools for cybersecurity defense. This initiative aims to provide transparent, adaptable AI capabilities to defenders, building on existing Linux Foundation and OpenSSF efforts.