As artificial intelligence becomes increasingly embedded in enterprise workflows, a new generation of security threats is emerging that traditional data loss prevention systems were never designed to handle. Fasoo AI, a Seoul-based data security firm, has unveiled an expanded approach to AI-aware data loss prevention that addresses the growing risks posed by generative AI tools in corporate environments.
The company’s latest security framework targets what industry experts call “Shadow AI” — the proliferation of unsanctioned artificial intelligence tools that employees adopt without IT oversight or approval. As workers increasingly turn to AI assistants for drafting documents, analyzing data, and generating code, sensitive corporate information is being fed into systems that may lack adequate security controls.
“As AI becomes more deeply embedded in business workflows, the challenge is no longer just preventing data from leaving the network,” said Jason Sohn, Executive Managing Director at Fasoo AI. “Organizations need visibility into how data interacts with AI systems, whether those tools are sanctioned or not.”
The company’s multi-layered approach combines several specialized tools. Fasoo Data Radar handles data discovery and classification, scanning enterprise systems to identify and categorize sensitive information before it can be exposed. Fasoo DSPM provides security posture visibility across cloud and on-premises environments, giving security teams a comprehensive view of where vulnerabilities exist.
Perhaps most notably, Fasoo AI-R DLP monitors generative AI interactions in real time, tracking what data employees share with AI tools and flagging potential policy violations. The system works alongside Fasoo Enterprise DRM, which provides persistent content protection that follows documents regardless of where they travel.
The timing of the announcement reflects a broader industry reckoning with AI security. As organizations race to integrate generative AI into their operations, many are discovering that their existing security infrastructure was built for a fundamentally different threat landscape. Traditional DLP systems focused primarily on preventing data from leaving the corporate network through email, USB drives, or cloud uploads. The rise of AI tools has created entirely new pathways for data exposure.
Industry analysts have noted that the Shadow AI problem is particularly acute because it often involves employees with good intentions. Workers seeking to boost productivity may paste confidential financial data into an AI assistant for analysis, or feed proprietary code into a coding tool for debugging, without recognizing the security implications.
Fasoo AI’s approach emphasizes context-aware monitoring rather than blanket restrictions, attempting to balance the productivity benefits of AI tools with the need to protect sensitive information. The framework is designed to provide governance across both cloud and on-premises environments, addressing the reality that modern enterprises typically operate in hybrid infrastructure configurations.
The company, headquartered in Seoul, South Korea, has positioned itself at the intersection of data security and AI governance, a market segment that analysts expect to grow significantly as enterprises continue their AI adoption journeys.
