Cyberattack with China Ties Against Major Telcos May Have Tapped into Critical US Federal Government Data

Amy Larsen DeCarlo – Principal Analyst, Security and Data Center Services

Summary Bullets:

• In a published blog, Lumen says its Black Lotus Labs has identified an active exploitation of a zero-day vulnerability in its Versa Director servers, which orchestrate its SD-WAN network services.

• Though the company, attributing the attack to threat actors Volt Typhoon backed by China, didn’t specify which of its clients would have been affected, others suggest the attack may have penetrated the infrastructure supporting sensitive government wiretapping communications.

Reports circulated this summer that state-sponsored cybercriminals connected to China hacked into US federal government resources via major telecom providers’ networks. Last week, it was revealed by several journalism sources including the Wall Street Journal that the target of the activity was federal government communications related to court-ordered network wiretapping applications that the hackers accessed through AT&T, Lumen, and Verizon’s networks. Though no one with direct knowledge of the situation was named, anonymous sources say the threat actors could have been tapped into the networks months ago.

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New AMD Pensando Offerings for AI, HPC, and Hyperscalers Shine

S. Schuchart

Summary Bullets:

  • On October 10, 2024, AMD announced the latest editions of its DPU lineup from its acquisition of Pensando.
  • The UEC 1.0 standard will be a big deal in HPC and AI circles.

One of the drivers of high-end networking on the server side is the data processing unit (DPU) also sometimes referred to somewhat erroneously as NIC accelerators. These are add-in networking and services cards for servers in high-performance or hyperscaler environments. Not only do these cards handle traditional NIC acceleration tasks and encryption offloading, but they have their own CPUs and memory. They can support advanced processing and are often used for security and monitoring, among other specialized things – the cards are programable. These cards run outside of the operating system on the server and most often feature ARM-based processors. By running separately on their own operating system, they are extremely useful in security and isolation from the base platform.

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Generative AI Watch: Text-based Data is the Next Logical Evolution of Synthetic Data


Summary Bullets:

R. Bhattacharyya

• Synthetic unstructured data, or text, can be used to train and finetune large language models (LLMs) used in customer support applications or chatbot conversations.

• The application of synthetic data, both tabular and unstructured, will continue to grow, driven by a need for additional training data as well as concerns over data privacy.

On October 1, 2024, MOSTLY AI announced that its platform can help enterprises create synthetic text, a timely new capability given the growing interest by enterprises to leverage GenAI to extract insights from unstructured data. Over the past several years, much of the conversation around synthetic data has focused on using GenAI to create synthetic tabular data. Tabular data is structured data that can be neatly organized, for example information that can be arranged in an excel file. The logical next step is to use GenAI to create text-based information that can be used to customize LLMs.

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