小数据保护

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“小数据”决定企业生死?齐向东:AI时代必须重构防护体系,防“一锅端”风险
2 1 Shi Ji Jing Ji Bao Dao· 2025-06-05 14:19
Core Viewpoint - The cybersecurity industry is facing significant challenges due to a fragmented system, where the procurement of security devices from multiple vendors leads to dispersed responsibilities and ineffective security capabilities [1][2] Group 1: Systemic Challenges - Over 90% of large government and enterprise organizations procure security devices from more than 10 vendors, resulting in a "big platter" of fragmented security systems [2] - There is a disconnect between the macro-level "big system" and the micro-level "small systems," leading to difficulties in integrating security capabilities and implementing unified strategies [2][3] - The operational bottleneck arises from the lack of data sharing and communication between different "small systems," which exacerbates the security risks [2] Group 2: Impact of AI - The traditional strategy of protecting core "small data" through compartmentalization has become ineffective in the age of AI [3][4] - Small data, which includes trade secrets and proprietary information, is now at risk of being easily accessed and replicated by competitors using AI technologies [4] Group 3: Proposed Solutions - To address these challenges, the industry must focus on three key paths: reshaping data aggregation models, constructing feedback loops for security operations, and redefining ecological cooperation models [5] - A comprehensive security data set that covers a wide range of dimensions and has high contextual relevance is essential for effective threat detection [5] - Establishing a "security system chief designer" to unify disparate security efforts and create a cohesive defense strategy is crucial for effective implementation [6]