企業全体のデータを超高速で検索し、カタログ化します。
Forcepoint Data Classificationは、AI Meshを使用して高精度なデータ分類を実現します。 ネットワーク化されたAIアーキテクチャは、スモールランゲージモデルと高度なAIコンポーネントに依存し、効率を向上させ、誤検知を低減します。
Forcepoint Data Classificationを選ぶ理由とは?
AIを使用して生成されるインサイトが分類する際に革新的なアプローチを促進するため、大規模にデータを分類する方法を正確かつ効率的に決定することができます。
業界で最も幅広い種類のデータタイプをカバーすることで、効率性が向上し、コンプライアンスが合理化されると同時に、組織のデータ保護も強化されます。
Enterprise Data Loss Prevention (DLP)と統合し、データ分類の要件と基準を選択し、広範な再トレーニングは不要でDLPポリシーを簡単に適用します。
データ分類のスピードと効率を向上させることで誤検出を低減し、実際のデータセキュリティインシデントに時間を増割くことができます。
主要な規制と、業界で最も広範なデータタイプが既にカバーされているため、コンプライアンス違反による高額な罰金を回避することができます。

必要な場所すべてにData Security Everywhereを
Forcepointでどこでもデータを保護します。 データセキュリティソリューションで違反を防止し、コンプライアンスを簡素化し、ポリシー管理を統合し、リアルタイムでリスクに適応します。
Forcepoint DLP: クラウドベースのDLP SaaSを使用して機密データを保護し、コンプライアンスを合理化。
Data Security Posture Management (DSPM): AIによる自動化で検出、分類、組織化を実現
Risk-Adaptive Protection: ユーザーの行動に基づいてポリシーを自動的に調整し、新たなリスクにリアルタイムで適応します。
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.
