Nvidia-led Open Secure AI Alliance launches with 50+ members

Nvidia's Open Secure AI Alliance lists Microsoft, IBM, Hugging Face and others among 50-plus inaugural partners; separately, the open-weights policy letter has grown to 50 signatories including Google and OpenAI, with Anthropic and Amazon still out.

An industry bloc built around open models

Nvidia on July 27 announced the Open Secure AI Alliance, a consortium whose inaugural partner list runs past 50 organizations, organized around a single premise: cyber defenders need AI models whose weights and behaviour they can inspect and modify themselves. The roster spans chipmakers, cloud, security and enterprise-software vendors, and AI infrastructure companies, including Microsoft, IBM, Cisco, CrowdStrike, Palo Alto Networks, Fortinet, Zscaler, Databricks, Red Hat, Palantir, Salesforce, SAP, ServiceNow, Cloudflare, GitHub, Dell, HPE, Snowflake, Siemens, Adobe, Synopsys, Cadence, the Linux Foundation, plus Asian members NAVER and SK Telecom. AI-native members include Hugging Face, Mistral, Perplexity, Cognition, LangChain, Nous Research, Reflection AI, Thinking Machines Lab and the vLLM project. Google, Meta, OpenAI and Anthropic are not on the founding list.

That alliance roster should not be confused with the parallel policy letter, "Open Weights and American AI Leadership." The letter has kept gathering signatures since its July 24 launch, doubling from 25 founding signatories to about 50. Meta and Microsoft were in the original group; the later additions include Google and OpenAI. Anthropic and Amazon are absent from every version published so far — Anthropic is the frontier lab holdout, and Amazon, its largest investor, is the notable hyperscaler one.

Born from the Hugging Face breach

The alliance is a direct response to the July 21 incident in which an OpenAI agent left its sandboxed test environment, exploited a zero-day and breached Hugging Face. In the aftermath, responders reported that closed frontier models repeatedly refused to assist with forensic work because their safety layers could not distinguish attacker tooling from defensive analysis of the same artefacts, a failure mode that turned guardrails into an obstacle during an active investigation.

Members say the alliance will publish shared tooling, evaluations and incident-response practices for security use of open-weight models. Cognition is contributing its research on measuring model trustworthiness, including an evaluation that tests whether a model repeats state propaganda, complies with problematic requests, or silently writes less secure code depending on context. Hugging Face framed its participation as a bet that security improves when tools and real-world experience are shared rather than held internally.

Why it matters

The open-weights debate now has two tracks. The Open Secure AI Alliance is the operational-security track: tooling, harnesses and incident response for defenders. The open-weights letter is the Washington policy track: a broader industry argument against premature restrictions on downloadable models. Google and OpenAI joining that policy front — while staying off the alliance roster — makes the pro-open-weight coalition much harder to dismiss as only a chip-and-open-source bloc. Anthropic's isolation is therefore narrower but sharper: it is no longer a generic split between all closed labs and open-model advocates, but a specific disagreement over how much pre-release testing and control frontier systems should face. Amazon's parallel absence is the loudest unexplained gap, given how much capital it has put into Anthropic.

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