MENLO PARK, Calif. - TelAve -- Rorq AI is launching a new cybersecurity platform addressing the AI compute infrastructure, arguing that the rapid buildout of artificial intelligence is revealing a structural vulnerability beneath one of the largest capital waves in technology development history.

As enterprises, cloud platforms, governments, financial institutions, healthcare systems, and industrial operators deepen their dependence on AI, Rorq's view is that the data centers, GPU clusters, and compute environments behind those systems are becoming critical infrastructure before they are being secured like it.

Rorq is built around a simple proposition: The Achilles' Heel of AI may be the compute infrastructure itself.

"The market is moving so quickly to build AI capability, that the infrastructure beneath that capability is becoming just as consequential as the models themselves," said Cameron Marcus, a veteran developer of AI U.S. CYBERCOM and NSA and co-founder, lead engineer of Rorq. "If the compute layer is under-defended, the larger AI buildout may be carrying more hidden fragility than institutions and investors currently appreciate or realize".

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The company argues that many cybersecurity products in use today were designed for endpoints, conventional networks, cloud workloads, and legacy IT environments — not for large-scale AI compute clusters. As a result, organizations may have limited security visibility into the environments in which advanced models are trained, tuned, and operated.

Rorq said the core of its platform has already been developed and is designed specifically for AI compute environments rather than adapted from conventional enterprise security architecture. The company's premise is that AI compute infrastructure must be secured as its own category.

"This is not only a cyber or defense issue ," said JD Greene, advisor to Rorq AI. "As AI infrastructure becomes embedded across finance, enterprise, cloud, healthcare, industry, and government, the question of whether that infrastructure is secure becomes a broader economic and institutional challenge."

Rorq said its team brings deep AI and cyber experience shaped by work on high-consequence AI deployment in MIL, CYBERCOM and NSA and related infrastructure risk. The company said that background helped it recognize early that the compute layer may become the weak point beneath the broader AI economy.

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The company is currently engaging with stakeholders across industry, government and investment circles as awareness grows around the strategic and economic importance of AI infrastructure integrity.

Key Facts

• Company: Rorq AI Co.
• Focus: Cybersecurity for AI compute infrastructure
• Co-Founder / Lead Engineer: Cameron Marcus
• Core thesis: The infrastructure behind the AI buildout is likely under defended at the
  layer institutions are leaning on and learning to depend on most
• Current status: Core platform developed; company now launching.
• Near-term momentum: Active engagement across industry, all government, and major
  investment audiences.

About Rorq AI
Rorq AI is a cybersecurity company focused on protection for the AI compute infrastructure, including data centers, GPU environments, and related systems that underpin enterprise, institutional, and sovereign AI deployments. Co-Founded by Cameron Marcus and a team with deep AI and cyber experience, Rorq is focused on securing the compute layer beneath the AI economy.