AI Data Centers Near the Forefront... How Can Security Gaps Be Filled?
IT DAILY ·
✦ AI Summary
As protection measures for AI data centers (AIDCs) emerge as a new challenge, concerns have been raised over whether existing data center security frameworks can be sufficiently applied to environments linked with GPU, cloud, AI models, and agents.
Although standards for infrastructure, cloud, and AI protection exist separately, there is still a lack of connective links for tracing and controlling attacks that cross multiple domains, and the overall control methods and policies to apply when breaches spread across domains have not yet been decided.
Our outlet, Computerworld/IT DAILY, will host the '2026 Information Security Solutions Conference' on September 9 at the Orche Hall on the 5th floor of the EL Tower in Yangjae-dong, Seoul, and hold related discussions, including Professor Kim Chang-hoon's presentation on 'AIDC Cybersecurity Framework.'
As interest in building AI data centers (AIDCs) grows, protecting AIDCs is emerging as a new challenge. Accordingly, existing data center security frameworks are being raised as something that needs to be examined to determine whether they can be sufficiently applied even to environments linked with GPU, cloud, AI models, and agents.
As AIDC expands the areas that need protection, its attack surface is expanding as well. In this changing environment, AIDC security challenges are also coming into focus.
Standards for infrastructure, cloud, and AI protection already exist separately, but there is still a lack of connective links for tracing and controlling attacks that cross multiple domains. Accordingly, examining an integrated framework that can handle cross-domain attacks together is emerging as a necessary task.
A forum to review these AIDC security challenges will be held. Our outlet, Computerworld/IT DAILY, will host the '2026 Information Security Solutions Conference' on September 9 at the Orche Hall on the 5th floor of the EL Tower in Yangjae-dong, Seoul, and will hold related discussions under the theme 'AI for Security, Security for AI.'
Professor Kim Chang-hoon of Daegu University will deliver a keynote speech on the topic of 'AIDC Cybersecurity Framework.' His presentation will cover changing security threats in AIDC environments and directions for response.
The presentation is based on the premise that AIDC is not simply a matter of adding GPUs to an existing data center. AIDC consists of server, network, and storage infrastructure, is connected to cloud environments, and goes through external service integration via APIs. In addition, AIDC service processing paths are composed of AI models and retrieval-augmented generation (RAG).
In an environment where these paths are interconnected, possible attack movement paths can also follow those service processing paths. At present, infrastructure, cloud, and AI are the areas where security standards and threat response systems exist, but when a compromise that starts in one area spreads to another, the overall control method remains undecided. Policies to apply when breaches spread across domains have also not yet been set.
In particular, the influence of GPU management paths expands the attack surface. GPUs are used as large-scale data and model processing resources in AI training and inference, and the scope of security coverage includes not only the GPUs themselves but also related infrastructure such as the baseboard management controller (BMC) used to manage GPUs.
An attacker can take control of GPU management infrastructure and abuse the compromised infrastructure for attacks. In such cases, firmware changes, component changes, unauthorized allocation of GPU resources, and direct access attacks on GPU memory must also be considered.
Professor Kim proposed a new threat modeling approach as a way to address these security gaps. The threat classification axes consist of the object of protection, implementation location, and compromised security attribute, and the analysis criteria presented were confidentiality, integrity, and availability, the three CIA elements.
Professor Kim also proposed establishing additional AIDC-specific controls based on threat modeling and redefining the framework. He also plans to introduce a security framework covering AIDC asset identification, risk analysis, and the SOC at the '2026 Information Security Solutions Conference' on the 9th.
At the same event, SGA Solutions CEO Choi Young-chul will also speak, presenting a server security and microsegmentation-based zero-trust strategy for the AI era. AhnLab, SoftCamp, and Wins TechNet will introduce security solutions for AI. Kim Ki-woong, team leader of the Security Strategy Response Team at KB Kookmin Bank's information security department, will present AI attack simulations and response strategies for the financial sector.
The '2026 Information Security Solutions Conference' is open only to preregistered attendees, not to everyone on site, and admission is free. Preregistration is available through the IT DAILY website.
Source: IT DAILY · Kim Ho-jun
Original: https://www.itdaily.kr/news/articleView.html?idxno=241421
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Source: IT DAILY
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