Nvidia has issued an urgent software update for its open-source AI inference platform, Triton, after cybersecurity firm Wiz uncovered a series of critical vulnerabilities that could allow full remote takeover of AI servers.

The vulnerabilities—CVE-2025-23319, CVE-2025-23320, and CVE-2025-23334—affect Triton users globally and could lead to data theft, AI model manipulation, and complete server compromise, according to a statement by Wiz.

The Vulnerability Chain: From Leak to Takeover

“The attack starts with a minor bug that causes the server to leak a small piece of secret internal data,” explained Nir Ohfeld, Head of Vulnerability Research at Wiz.

Once that leaked data is obtained, an attacker could trick a built-in server function into granting access to protected components. From there, privilege escalation becomes trivial, potentially handing the attacker full control over a company’s AI operations.

While the vulnerabilities haven’t been exploited in the wild yet, Ohfeld warns that the high usage of Triton across Fortune 500 companies makes this a ticking time bomb for enterprises that don’t update.

Who Is Affected?

Triton is widely used in enterprise-scale AI deployments, powering model inference for companies like Microsoft, Amazon, Oracle, Siemens, and American Express, according to Nvidia’s own materials.

As of 2021, over 25,000 companies reportedly rely on Nvidia’s AI stack. Given the Triton platform’s open-source nature, the full scope of its integration into proprietary systems may be larger and harder to track.

What Users Should Do Now

“The single most important step is to update to the patched version of the Nvidia Triton Inference Server—version 25.07 or newer,” said Ohfeld.

This update closes the entire vulnerability chain identified by Wiz researchers. Nvidia declined additional comments, instead pointing users to its official security bulletin.

Broader Implications for Tech and Crypto

This Triton flaw is the latest in a series of cybersecurity scares tied to emerging technologies. In the crypto industry, exploits have already stolen over $3.1 billion in digital assets in 2025—surpassing 2024’s total losses, according to blockchain auditor Hacken.

The concern? AI and blockchain systems are becoming increasingly interlinked, and weaknesses in one domain may soon spill over into the other.

“With AI workloads growing rapidly, the integrity of platforms like Triton must be airtight,” said a security analyst familiar with the incident. “If AI agents or LLMs are tampered with, downstream consequences could be severe—not just in fintech, but in healthcare, defense, and transportation too.”

Summary

The Triton vulnerability disclosure is a critical wake-up call for developers and enterprises embracing on-chain AI or advanced crypto integrations. With Nvidia’s inference stack playing a central role in global AI infrastructure, staying up-to-date with security patches is now mission-critical for any organization relying on AI at scale.