Fasoo AI expands AI-aware DLP for enterprise data security

Fasoo AI is extending its data loss prevention approach to help enterprises see and control how sensitive data moves through AI systems. The update targets risks from generative AI use and Shadow AI as organizations adopt more AI tools across the business.

Why it matters: - Enterprise AI use is expanding the number of places sensitive data can be exposed, shared or reused. - AI-aware DLP is designed to give security teams more context on how corporate knowledge, customer data and intellectual property interact with AI tools. - The approach aims to reduce exposure without blocking AI adoption.

What happened: - Fasoo AI said on July 7, 2026, that it is expanding its AI-aware data loss prevention strategy for modern enterprise AI environments. - Ron Arden, EVP, CTO & COO at Fasoo AI, said traditional DLP was built to stop data from leaving an organization, while AI-driven environments require visibility into how sensitive data is accessed, shared and used across AI systems. - Fasoo AI said AI-aware DLP combines data discovery, security posture visibility, AI interaction monitoring and persistent protection.

The details: - Fasoo AI said conventional DLP tools mainly inspect files and network traffic, while its approach also examines the context of AI interactions. - That context includes prompts sent to AI services, the sensitivity of referenced data, user access permissions and AI-generated responses. - Fasoo Data Radar (FDR) discovers, classifies and tags sensitive information across distributed environments. - Fasoo DSPM provides visibility into data security posture, access permissions and risk exposure across cloud and on-premises repositories. - Fasoo AI-R DLP monitors and controls interactions with generative AI applications. - Fasoo Enterprise DRM (FED) applies persistent protection to sensitive content as it moves. - Fasoo AI said organizations are increasingly sharing corporate knowledge, customer information and intellectual property with AI applications. - Fasoo AI said unsanctioned AI tools, or Shadow AI, can expose sensitive information outside approved governance frameworks. - The company said its platform is meant to support more adaptive controls based on the actual risks tied to AI usage. - For more information, visit the company's announcement.

Between the lines: - The release positions DLP as a context-aware control layer rather than a simple data-exit filter. - That shift reflects a broader enterprise security challenge: AI systems can ingest, summarize and generate sensitive material without the same boundaries that governed older software workflows. - Fasoo AI is framing governance, visibility and persistent protection as a single stack for AI-era data risk.

What's next: - Fasoo AI said organizations need to move from traditional rule-based systems to an AI-powered sensitive data security platform. - The company said that platform should understand context, anticipate risks and prevent exposure across the full data lifecycle. - Fasoo AI will continue to promote its enterprise AI and security products and services as organizations refine AI governance strategies.

The bottom line: - Fasoo AI is betting that enterprise security teams will need AI-aware controls, not just file-based DLP, as generative AI and Shadow AI become part of everyday work.