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Shadow AI Discovery: Critical for Enterprise AI Governance

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📰 1 unique sources, 1 articles

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Organizations are facing significant challenges due to the widespread use of unmanaged AI tools by employees, often bypassing corporate controls. This phenomenon, known as Shadow AI, poses substantial risks to data security and regulatory compliance. Effective governance requires identifying and managing both sanctioned and unsanctioned AI usage across the enterprise. Research indicates that 40% of organizations have purchased enterprise LLM subscriptions, yet over 90% of employees are actively using AI tools in their daily work. Nearly half of sensitive AI interactions occur through personal email accounts, circumventing corporate oversight. This trend highlights the need for proactive measures to uncover and govern Shadow AI, ensuring compliance and protecting sensitive data.

Timeline

  1. 02.09.2025 14:30 📰 1 articles · ⏱ 14d ago

    Shadow AI Discovery Identified as Critical for Enterprise Governance

    Research reveals that over 90% of employees use AI tools daily, often bypassing corporate controls. This Shadow AI poses significant risks, necessitating proactive discovery and governance measures. Harmonic Security provides solutions for continuous monitoring and risk assessment, helping organizations comply with regulations and protect sensitive data.

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