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Gemini 4 Argon is late, but Google’s expertise may be an advantage
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Esther Shittu

· 1 min read

BusinessAI Business

Gemini 4 Argon is late, but Google’s expertise may be an advantage

Google’s long-delayed flagship model, Gemini 4 Argon, shows that the cloud provider has been trailing competitors Anthropic and OpenAI in critical capabilities such as cybersecurity.

Introduced on Sept. 30, the foundation model can support long, multistep tasks and perform at a high level in coding, reasoning and in multiple modes, including images, text and video, as well as across diverse enterprise workflows. Google has secured Argon so that the model refuses risky requests, it said. It has also improved its internal activation mechanisms to detect misuse. The model is resistant to indirect prompt injections, in which a bad actor tries to hijack the model’s behavior, Google said

Argon is the tech giant’s first new top-of-the-line model since it released Gemini 3 Pro in November 2025. The new release indicates that Google is catching up with independent rivals Anthropic and OpenAI, both of which have released new flagship models in the past few months.

OpenAI released GPT-6 Astra in early September, while Anthropic released Claude Fable 5 and Claude Mythos earlier in the year. Like the cyber model Claude Mythos, which is accessible to trusted organizations under Project Glasswing, Google is first rolling out Argon to organizations in its cybersecurity program, Fairwind. OpenAI boasts a similar program, Daybreak, for GPT-5.6 Cyber.

Cybersecurity and Google tardiness

Google’s frontier model is the latest in a wave of AI models that specifically target security capabilities amid mounting concerns about AI safety. The model is capable of taking offensive cybersecurity measures.

“Cybersecurity has now become less of a unique offering; it has now become a staple for everyone,” said Lian Jye Su, an analyst at Omdia, a division of Informa TechTarget.

Google is trying not only to follow cybersecurity standards but also to “wrestle back what it has lost to OpenAI and Anthropic from an enterprise-grade agent or agentic AI standpoint,” he said.

Original source

This story was published by AI Business and written by Esther Shittu. SyncAI.news shows a preview; the complete article is on the publisher's site.

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