UNIST Launches Development of Core Security Technology for Agentic AI
AI TIMES ·
✦ AI Summary
According to AI TIMES, UNIST was selected on September 18 for a project to develop core security technology that connects judgment and execu…
According to AI TIMES, UNIST was selected on September 18 for a project to develop core security technology that connects judgment and execution in agentic AI, and will receive about KRW 11 billion in funding. Together with Sungkyunkwan University, it will conduct research through December 2031, with the core goal of building an integrated defense system that prevents external attacks from leading to information leaks or unauthorized tasks. The research will move beyond an approach that protects only the model and focus on designing both the interfaces through which inputs enter and exit and the actual execution environment. The plan is to link safeguards so that even if one stage is breached, attacks can be blocked at the next stage, responding to threats that pass through multiple stages. It also plans to verify the technology in the actual services of partner companies and assess whether it can be applied on-site. The project also carries significance in lowering the barrier to adoption in areas where deployment had lagged because of security concerns and in broadening the research workforce that understands both AI and security.
Perspective
The key point in this issue is that AI safety is shifting beyond competition over individual model performance to a problem that must address the entire system. In particular, there is now a clear recognition that in architectures where judgment and execution are connected, defending a single point is not enough, and this research shows a way to fill that gap. The fact that it is premised on verification in actual services increases the possibility that the work will not remain in papers but will instead lead to changes in deployment standards. In the end, it signals that the conditions needed to use AI in the field may be redefined to include not only performance but also a trustworthy operating structure.
This perspective is BizCrush's own commentary and is not part of the reporting by AI TIMES.
This article was produced with the help of an automated content generation algorithm.
Source: AI TIMES
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