以迅速不及掩耳之勢在企業內部查找數據並編目。
Forcepoint Data Classification 利用 AI Mesh 實現準確度高的 Data Classification。這個軟體的連網 AI 架構仰賴小型語言模型和先進的 AI 元件,效率更高,誤報更少。
為什麼選擇 Forcepoint Data Classification?
使用 AI 產生的深入解析,帶動了創新的分類方式發展,讓您準確又有效率地決定大規模分類資料的方式。
涵蓋業界最廣泛的資料類型,有助於提高效率並簡化法規遵從,同時為組織的資料提供更完善的防護。
整合 Enterprise Data Loss Prevention (DLP),為 Data Classification 選取需求和準則,輕鬆執行 DLP 政策,不需要廣泛重新訓練。
提高 Data Classification 的速度和效率,減少誤報,將更多時間投注在處理合理的資料安全事故。
利用隨裝即用的關鍵法規,以及業界涵蓋範圍最廣的資料類型,避免因為不符合法規遵循的行為而面臨高額罰款。

新一代的資料安全
使用 Forcepoint ,確保數據安全無處不在。利用我們的數據安全解決方案,實時防止外洩、簡化合規性、統一策略管理並適應風險。
Forcepoint DLP: 保護敏感數據並簡化根據雲端的 DLP Saas 合規。
Data Security Posture Management (DSPM): 利用人工智能驅動的自動化探索、分類和協調。
Risk-Adaptive Protection: 根據使用者行為自動調整政策,即時因應新出現的風險。
Frequently Asked Questions
What is data classification?
Data classification is the practice of tagging and organizing data into pre-defined categories, making it easier to locate and retrieve while enforcing secure access for authorized users.
Why is data classification important for organizations?
Data classification practices are necessary for maintaining a strong security posture. By ensuring that security teams know where to find sensitive information and by putting rules in place about who is allowed to access it, you can prevent or contain data breaches and keep unauthorized users away from resources they shouldn’t have.
What are the types of data classification?
Content-based classification: This is the practice of examining files and searching for sensitive information inside them. This can be helpful if you have a problem of information that is not for public consumption hiding in seemingly innocuous file types.
Context-based classification: Instead of examining file contents directly, this approach primarily looks at the metadata associated with files to find clues indicating that data inside is sensitive. This may include identifying the location where a file is saved, which user created it or which application the file is built for. This approach works well when your user base is well-trained and when you already have a degree of control over your sensitive data.
User-based classification: This puts the burden upon users to comb through files and categorize them. While at its best this approach can significantly cut down on false positives, it relies upon having not only a highly trained user base but also the time to manually classify data. That means that it is typically only suitable for a leaner organization or a smaller dataset..
What are best practices for implementing data classification?
Identification: Find where your sensitive data resides, including cloud repositories and physical hard drives, and take any necessary immediate steps to secure them with encryption, physical access controls, etc.
Organization: Come up with the process that you will use to organize data into categories.
Training: Empower employees to take a role in tagging data and placing it in the proper place based on its category. The more people who have a role in the process, the more stringent your training needs to be to make sure that human error doesn’t compromise your efforts.
Compliance: Understand the applicable data security and data privacy regulations for your operations, along with the penalties for noncompliance.
Solutions: Locate the data classification solution that best suits your organization. In many cases it can be best to utilize a comprehensive data security platform that can assist with data discovery, classification and prioritization instead of patching together different solutions from various vendors.
Can data classification help with regulatory compliance?
Yes, Forcepoint Data Classification can help streamline compliance in 80+ regions. It helps you avoid costly non-compliance fines with out-of-the-box key regulations and the broadest coverage of data types in the industry.
How accurate is Forcepoint Data Classification?
Forcepoint Data Classification uses AI-powered precision and efficiency. It helps classify data across multiple sources, using AI Mesh technology, to continuously improve its accuracy and efficiency, saving organizations valuable time and resources.
What is AI Mesh and how is it used?
Forcepoint Data Classification uses AI Mesh to deliver highly accurate data classification. Its networked AI architecture relies on a Small Language Model and advanced AI components to improve efficiency and reduce false positives.
