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파수 AI, N2SF 등급 분류 대응 'FDR' 업데이트 출시 [경제일보] 파수 AI가 국가 망 보안체계(N2SF) 전환에 대응하는 데이터 식별·분류 솔루션을 고도화했다. 공공기관이 AI와 클라우드를 활용하기 위해서는 데이터의 중요도와 민감도를 먼저 식별하고 등급별 보안 정책을 적용해야 하는 만큼, 데이터 분류 자동화가 공공 보안 시장의 핵심 과제로 떠오르고 있다. 파수 AI는 데이터 식별·분류 솔루션 ‘파수 데이터 레이더(Fasoo Data Radar, FDR)’의 신규 업데이트 버전을 출시하고 공공기관의 N2SF 전환 지원을 강화한다고 밝혔다. N2SF는 기존 공공부문 망분리 정책을 보완·전환하기 위해 추진되는 새로운 보안 프레임워크다. AI와 클라우드 등 신기술을 안전하게 활용할 수 있도록 데이터와 시스템을 중요도·민감도에 따라 기밀(Classified), 민감(Sensitive), 공개(Open) 등급으로 구분하고, 등급별로 차등화된 보안대책을 적용하는 것이 핵심이다. 파수는 지난해 ‘범정부 초거대 AI 공통기반 대상 국가 망 보안체계 시범 실증’에 참여해 N2SF의 데이터 식별·분류·통제 부문을 맡은 바 있다. 이번 FDR 업데이트는 N2SF 전환의 출발점인 데이터 식별과 등급 분류 기능을 강화한 것이 특징이다. FDR은 윈도, 맥, 파일서버 등 다양한 저장소에 흩어진 데이터를 파악하고 민감정보 포함 여부를 자동으로 탐지·분류하는 솔루션이다. 이후 분류 결과에 따라 암호화, 레이블링, 격리, 권한 회수, 파기 등 후속 조치를 적용할 수 있다. 새 버전에는 OCR 기능이 추가됐다. 일반 이미지 파일이나 문서 안에 삽입된 이미지에서 텍스트를 추출해 민감정보 포함 여부를 검사한다. 기존 텍스트 기반 탐지로는 확인하기 어려웠던 스캔본, 캡처 이미지, 이미지형 PDF 등에 포함된 개인정보와 민감정보까지 식별할 수 있다는 설명이다. 문서 작업 중 등급 인식을 돕는 기능도 강화됐다. 한글, MS 오피스, PDF 등 주요 문서 작업 환경에서 기밀·민감·공개 분류 라벨을 화면에 지속적으로 표시해 사용자가 해당 문서의 보안 등급을 직관적으로 확인할 수 있도록 했다. 공공기관 업무 환경에서는 문서 작성·검토·공유 단계마다 등급 인식이 필요한 만큼, 사용자 실수로 인한 자료 유출을 줄이는 효과가 기대된다. AI 기반 문맥 분석 기능도 더했다. FDR은 파수 AI의 AI 기반 개인정보보호 솔루션 ‘AI-R Privacy’와 연동해 복잡한 문장 속 개인정보를 탐지하고 마스킹할 수 있다. 단순 키워드나 정규식 기반 탐지를 넘어 자연어처리와 딥러닝 기술로 문맥을 해석해 민감정보를 찾아내는 방식이다. 이번 업데이트는 공공기관의 N2SF 전환 수요를 정면으로 겨냥한 것으로 풀이된다. 기존 망분리 체계에서는 내부망과 외부망의 물리적·논리적 분리가 보안의 중심이었다. 그러나 생성형 AI와 클라우드 서비스를 공공 업무에 활용하려면 모든 데이터를 같은 방식으로 막는 구조만으로는 한계가 있다. 어떤 데이터가 기밀이고, 어떤 데이터가 민감하며, 어떤 데이터는 공개 가능한지를 먼저 구분해야 AI 활용과 보안 통제를 동시에 설계할 수 있다. 특히 초거대 AI 기반 행정서비스가 확산되면 데이터 분류의 중요성은 더 커진다. AI 모델에 입력되는 문서와 데이터셋에 개인정보, 내부 정책 문건, 보안 정보가 섞여 있을 경우 유출이나 오남용 위험이 발생할 수 있다. N2SF가 데이터 등급 분류를 전제로 하는 이유도 여기에 있다. 관련 시범 실증 사업 역시 공공부문에 적합한 AI 보안 적용 모델과 확산 방안을 마련하기 위해 추진됐다. 업계에서는 N2SF 전환 과정에서 데이터 보안 시장이 확대될 것으로 보고 있다. 공공기관이 AI와 클라우드를 도입하려면 데이터 발견, 분류, 권한 관리, 암호화, 반출 통제, 로그 추적, 개인정보 마스킹까지 전 주기 관리 체계가 필요하다. 이 가운데 데이터 식별·분류는 모든 보안 정책의 출발점이다. 분류가 부정확하면 과도한 차단으로 업무 효율이 떨어지거나, 반대로 민감정보가 낮은 등급으로 처리돼 유출 위험이 커질 수 있다. 파수 AI는 FDR 외에도 데이터 보안 솔루션 ‘파수 엔터프라이즈 DRM(Fasoo Enterprise DRM, FED)’과 AI 활용을 위한 민감정보 관리 솔루션 ‘AI-R DLP’ 등을 통해 N2SF 대응 포트폴리오를 강화하고 있다. 데이터 등급을 식별한 뒤 문서 암호화와 접근권한 통제, AI 입력 데이터 차단·마스킹까지 연결하는 구조를 구축하겠다는 전략이다. 향후 관건은 실제 공공기관 업무 환경에서의 적용성과 정확도다. 공공기관 데이터는 문서 형식이 다양하고 오래된 스캔본이나 이미지형 자료, 비정형 문서가 많다. OCR과 AI 문맥 분석 기능이 현장 데이터에서 얼마나 높은 탐지율과 낮은 오탐률을 보이느냐가 솔루션 경쟁력을 가를 전망이다. 또 N2SF 전환이 공공기관 전체로 확산되면 보안 등급 분류 기준의 표준화도 중요해진다. 기관마다 다른 방식으로 기밀·민감·공개 등급을 적용하면 시스템 연계와 클라우드 활용 과정에서 혼선이 생길 수 있다. 데이터 분류 솔루션은 기술 기능뿐 아니라 정부 보안 기준과 기관별 업무 특성을 반영한 정책 설계 역량까지 요구받게 된다. 고동현 파수 AI 상무는 “파수 AI는 FDR 외에도 FED와 AI-R DLP 등 N2SF를 위한 포트폴리오를 지속적으로 강화하고 있다”며 “N2SF의 시작이 등급 분류인 만큼 FDR을 통해 공공기관의 디지털 혁신을 지원할 것”이라고 말했다. 이번 FDR 업데이트는 공공 AI 확산 국면에서 보안의 무게중심이 ‘망을 나누는 방식’에서 ‘데이터를 이해하고 통제하는 방식’으로 이동하고 있음을 보여준다. AI와 클라우드 활용이 공공 업무의 효율성을 높일 수 있다면, 그 전제는 데이터가 어디에 있고 어떤 등급인지 정확히 아는 것이다. 파수 AI가 N2SF 전환 시장에서 데이터 분류·통제 솔루션을 앞세워 공공 보안 수요를 얼마나 확보할지 주목된다.2026-05-20 16:38:59
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Lessons in Leadership from the Classics | Chapter 4: Nvidia The Patience and the Ascent of Jensen Huang How the Alleyways of Korea and the Floors of Semiconductor Factories Forged the Aesthetics of 古枯孤高 [Economy Daily] At the beating heart of the civilizational upheaval we call artificial intelligence stands one company and one man: Nvidia and Jensen Huang. The world measures them in market capitalization and market share. But the deeper truth of great leadership outlasts any number. It is the power of time, long and unhurried. It is the discipline of subtraction. It is the courage of solitude. And it is, finally, the dignity that comes only from having endured. In the vocabulary of East Asian philosophy, these four qualities compress into a single phrase: 古枯孤高 — ancient (古), austere (枯), solitary (孤), elevated (高). Nvidia's rise is not the story of a stock that spiked overnight. It is the story of these four characters slowly calcifying into the bones of one man and the culture of one company, across thirty years of painstaking accumulation. 古 — The Ancient: Time as the First Discipline Every great enterprise, if it is truly great, eventually earns its face — but only through time. Jensen Huang had been walking this earth as a businessman long before the world knew his name. His relationship with Korea begins here, and it begins on foot. According to domestic industry accounts from that era, Huang made repeated visits to Yongsan Electronics Market in Seoul in the late 1990s and early 2000s — when Nvidia was still an obscure startup struggling to be taken seriously. He came not as a visiting dignitary but as a salesman: explaining graphics cards to shop owners, persuading assemblers, winning trust one transaction at a time. Huang himself has said his connection to Korea dates to 1996. He has spoken of how South Korea's explosion of high-speed internet, its PC-bang culture, and the nationwide fever for StarCraft formed a critical foundation for Nvidia's early growth. Korea, in those years, was the world's most electrified laboratory for digital culture — and the heat of its gaming rooms, the sharpness of its consumers, the velocity with which it embraced new technology, all of it nourished a company that had not yet found its footing. This detail matters enormously. The histories of great corporations are often rewritten to begin in gleaming boardrooms or on famous stages. But Jensen Huang's formation happened in narrow storefronts, surrounded by towers of component boxes, in a market where customers were price-sensitive and performance-obsessed and utterly unimpressed by brand mythology. In Yongsan, he did not sell a brand. He sold credibility. He sold product knowledge. He sold the felt experience of superior performance. The I Ching offers an image for this season of a man's life: 潛龍勿用 — "the hidden dragon does not yet act." The dragon submerged beneath the water has not yet ascended to the sky, but it is already gathering strength, already orienting itself toward its direction. Korea was that submerged time for Jensen Huang. It was where the dragon went quiet and grew. 枯 — The Austere: The Discipline of Withholding Austerity is not poverty. It is restraint. And few companies in the history of Silicon Valley have practiced restraint as rigorously or as consequentially as Nvidia. While its competitors raced to win the surface war — chasing specification numbers, upgrading the cosmetics of their products, playing to the gallery of consumer benchmarks — Huang kept his organization's attention trained on something less visible and far more consequential: the underlying architecture of computation, the logic of parallel processing, the infrastructure that would eventually become the indispensable engine of artificial intelligence. This is the aesthetic the Chinese literati call 枯淡 — a beauty that comes not from ornament but from essence. The Diamond Sutra puts it this way: 凡所有相 皆是虛妄 — "all that has form is ultimately illusion." In business terms: what catches the eye rarely determines a company's fate. What determines fate is the capability that cannot be seen. Nvidia understood this early. That is why the Nvidia of today rests not on the appearance of its products but on the depth of its software ecosystem, its developer base, and the intellectual architecture that competitors cannot easily replicate. This philosophy of austerity extends to Huang's understanding of human character. Speaking at Stanford, he told students that the most important trait for success is not intelligence but resilience — and went further, saying, "I hope you will have the experience of suffering and hardship." It is a startling thing to say, and deliberately so. His point is unambiguous: greatness is not the product of cleverness alone. Character is forged not in comfort but in friction. Huang speaks from experience. He has publicly described being bullied in an American boarding school as a boy, washing dishes and cleaning bathrooms at minimum wage. His philosophy of hardship is not rhetoric. It is autobiography. Most organizations today speak to their people endlessly about well-being and are afraid to speak about tempering. But Jensen Huang did not flinch from the uncomfortable truth: growth always requires some degree of resistance and endurance. He knows this in his body. 孤 — The Solitary: The Courage of the Unfashionable Conviction Solitude, properly understood, is not the condition of being alone. It is the willingness to choose a road that others have not taken — and to walk it long enough to find out whether you were right. Nvidia was, for a very long time, a company that received no particular applause. It was known as a graphics chip company, and in that category, it was formidable. But inside that public identity, Huang carried a private and lonely conviction: that the dominant paradigm of computing would shift — that the age of the general-purpose CPU would eventually yield to an age of accelerated computing. Markets demand the present moment. Leaders sometimes have to absorb today's contempt in exchange for tomorrow's vindication. Only those who sustain that solitude earn the right to the rewards of early arrival. The Analects of Confucius puts it plainly: 德不孤 必有隣 — "virtue is never truly alone; it will always find its neighbors." What appears solitary and eccentric at the beginning eventually draws its community. And in the story of Nvidia and Korea, this movement from isolation to alliance is almost perfectly illustrated. The partnership between Huang and South Korea has long since outgrown its origins in retail sales. SK Hynix began collaborating with Nvidia on High Bandwidth Memory in the uncertain early days of that technology — a bet made before the outcome was clear. That relationship has since deepened into something that resembles co-development more than supply chain. Nvidia has been advancing large-scale AI chip supply and infrastructure cooperation with the Korean government, Samsung, the SK Group, Hyundai Motor Group, and Naver. The lonely salesman who once walked the aisles of Yongsan is now at the table with the leaders of Korean industry and government, shaping the architecture of the nation's AI future. The solitary vigil became a strategic alliance. What was once walked alone is now walked together. 高 — The Elevated: Altitude as Accountability Elevation is not merely position. It is character — the capacity to see farther and to hold responsibility longer than others can or will. The Doctrine of the Mean speaks of 至誠無息 — "true sincerity never rests." This is, unexpectedly, one of the most precise descriptions of how Jensen Huang has run his company. He did not build Nvidia on a passing fashion. He crossed product failures, market cynicism, supply chain crises, and geopolitical headwinds, and climbed — slowly, deliberately, one foothold at a time — to the position the company occupies today. This is not a mountain ascended in a season. This is a summit reached in decades. Here, again, Korea re-enters the story. However regal the title "emperor of the AI era" may sound, the circuitry running through that crown is substantially Korean. Korea began as the consumption frontier — the PC-bang, the gaming market, the early adopter culture that gave Nvidia its first mass foothold. It has since become the strategic frontier: the partner in HBM and advanced memory, the co-architect of AI factories and digital transformation. Between the image of Jensen Huang persuading shop owners in Yongsan and the image of Jensen Huang discussing AI infrastructure with the heads of Korea's largest conglomerates, there runs a very long river. But the river is unbroken. What he first saw in Korea was not merely a sales opportunity. He saw a society with an extraordinary capacity for fast technical comprehension, for organizing technology into industry, for connecting the work of the mind to the work of the factory floor. That insight lives inside every partnership he has built here since. A Reckoning for Korean Business What, then, should Korean business leaders take from this? The lesson is not complicated, though it is demanding. Innovation does not arise from eloquent mission statements. It arises from time endured, from the discipline to discard the inessential, from the independence to pursue an unpopular answer, and from the accountability that eventually transforms all of it into something worthy of the word dignity. Jensen Huang's career is not a story of a man who happened to catch the AI wave at the right moment. It is a story of sediment — of years and decades of experience, discipline, and conviction accumulating until they were precisely aligned with the door that history opened. Which asks certain questions of Korean business. Do we still carry the original instinct of those years when we wrestled with the market on the ground floor — when we had no reputation to trade on, only our knowledge and our reliability? Do we have the austere courage to strip away what is not essential? Do we have the nerve to choose the lonely right answer over the popular wrong one? Management, at its best, is completed in the love of people, in the respect for the work done in the field, and in the refusal to defy the logic of time and nature. The tree that grows too fast is hollow at its core. The success that comes too easily has shallow roots. Nvidia — Jensen Huang's Nvidia — took the opposite path. It stood like an ancient tree, silent and unhurried, enduring the winds and the droughts, growing upward alone toward the high place it had decided, long ago, to reach. His success, for that reason, is not a flash of light. It is light that stays. That is the lesson of 古枯孤高. Only those who have endured long enough ascend high enough. Only those who have passed through austerity reach genuine depth. Only those who have borne solitude long enough find themselves, one day, at the center of their age. Jensen Huang's Korean story is one essential thread in that larger narrative. Today's glory is conceived in yesterday's alleyways. Even the history of the world's most powerful technology company is completed, in the end, only on the accumulated sweat and trust of human beings. He is demonstrating that, quietly, every day. The author is a contributing columnist covering business philosophy, technology, and economic history.2026-04-22 11:57:23
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