DDR 阻止 GenAI 數據外洩
次世代 DLP 系統，結合 AI 偵測、資料血緣追蹤，以及即時防護與管控。
人工智能增強檢測，利用大型語言模型實現超越關鍵詞的深度語義理解。
數據血統追溯，全面追蹤數據流向與來源，為敏感數據提供豐富背景資訊
實現情境感知實時防護，跨終端、網絡、SaaS及雲端，顯著降低誤報率
實時策略執行，確保符合本地及行業法規要求
聯絡專家
Rethinking DLP in Finance with CyberServal & New Products Rollout
Tuesday, Mar 3, 2026 15:00-16:30 SGT(UTC+8)
為何選擇 CyberServal DDR 而不是 DLP？
CyberServal DDR vs DLP
- 系統架構: CyberServal DDR 一體化平台，整合 DLP、IRM等功能，靈活易管。 | DLP Fragmented工具零散，系統複雜，難整合。
- 資料可視性: CyberServal DDR 追蹤全資料流程，掌握內容與脈絡。 | DLP 只限靜態檢查，缺乏資料流向追蹤。
- 偵測準確性: CyberServal DDR AI 驅動，錯報少九成，提升效率。 | DLP 靠規則偵測，錯報高，干擾多。
- 營運效率: CyberServal DDR 成本低、部署快、維護簡。 | DLP 成本高、操作繁、管理難。
了解資料偵測與回應 (DDR)
CyberServal 推出企業級資料安全實戰指南
The financial service data security focuses on protecting transaction data and customer information and needs to meet regulatory compliance requirements.
The solution enabled conglomerates to effectively implement unified data security management, covering a vast and diverse range of global business units.
The solution effectively balances security controls and work efficiency, providing targeted protection for high-value intellectual property and supporting the fast and sustainable growth of the unicorn startup.
CyberServal adopts AI-driven intelligent analysis, which can automatically learn and adapt to the business logic of e-commerce platforms, thus more accurately identifying and preventing data leakage.
Banks must prioritize robust database protection, implement advanced intrusion detection systems, and maintain constant vigilance against leakage risks.
CyberServal：可信賴的數據防護專家
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