Fasoo AI, a leader in data-centric security and AI-ready data management, expands its AI-aware approach to data loss prevention (DLP) to help organizations gain greater visibility, governance, and control over sensitive data across modern AI environments.
“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 to understand the context of how sensitive data is being used within AI systems, and apply controls that reflect those actual risks.”
Organizations are increasingly sharing corporate knowledge, customer information, and intellectual property with AI applications. At the same time, the growing use of unsanctioned AI tools, often referred to as Shadow AI, creates additional risks as sensitive information may be exposed outside approved governance frameworks. AI-aware DLP extends traditional data loss prevention by combining data discovery, security posture visibility, AI interaction monitoring, and persistent protection to help organizations govern sensitive information throughout AI environments.
Unlike conventional DLP solutions that primarily inspect files and network traffic, Fasoo AI’s approach focuses on understanding the context of AI interactions, including prompts submitted to AI services, the sensitivity of referenced data, user access permissions, and AI-generated responses. This enables organizations to apply more informed and adaptive controls based on the actual risks associated with AI usage.
Also Read: CIO Influence Interview with Hugo Dozois-Caouette, CTO and Co-founder at MaintainX
Fasoo Data Radar (FDR) helps organizations discover, classify, and tag sensitive information across distributed environments, while Fasoo DSPM provides visibility into data security posture, access permissions, and risk exposure across cloud and on-premises repositories. Fasoo AI-R DLP enables organizations to monitor and control interactions with generative AI applications, while Fasoo Enterprise DRM (FED) applies persistent protection to sensitive content regardless of where it travels.
By combining data discovery, classification, governance, and protection, Fasoo AI helps organizations establish a more adaptive and AI-aware approach to DLP that aligns with the realities of modern AI adoption. As AI continues to transform enterprise operations, organizations must transition from traditional, rule-based systems to an AI-powered sensitive data security platform that can understand context, anticipate risks, and prevent exposure across the full data lifecycle.
Catch more CIO Insights: CIOs as Ecosystem Architects: Designing Partnerships, APIs, And Digital Platforms
[To share your insights with us, please write to psen@itechseries.com ]
