Webinar on 'How to Prepare for Data Leakage Risks Even After Ransomware Recovery'

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Ransomware Defense Must Address Risks Even After Recovery Ransomware protection traditionally emphasizes intrusion prevention, detection, isolation, and recovery from backups. However, modern attacks increasingly use 'double extortion' tactics—encrypting data and threatening to publish stolen information on the dark web. Even after business operations are restored, the risk of data misuse persists. With sensitive data scattered across PCs, cloud platforms, subcontractors, and remote work environments, ransomware defense must now include strategies to manage distributed data and prevent leaks—not just recovery capability.

Existing Security Measures Cannot Fully Protect Dispersed Sensitive Data Sensitive business data such as design documents, customer information, contracts, healthcare records, and shared files with partners are often stored across endpoints, USB drives, cloud services, and third-party vendors. Applying access controls per storage location is costly and inefficient. Moreover, data legitimately shared outside the company falls outside the scope of EDR and DLP solutions. To overcome these challenges, a new approach is required: securing the data itself and managing it centrally, regardless of location.

Data Security That Prevents Unauthorized Access Even If Data Is Stolen This seminar will present DataClasys—a practical solution for ransomware defense that secures sensitive data at the file level and enables centralized control. DataClasys encrypts all types of files, including Office documents and 3D CAD data, and restricts access by unauthorized parties. Even if confidential data is leaked to the dark web through double-extortion ransomware attacks, unauthorized third parties cannot read it. Because control is applied at the individual file level, data remains centrally managed and protected—whether stored on endpoints, in the cloud, or with external partners. We will introduce ransomware defense strategies that address data leakage risks that persist even after system recovery.

Organizer and Co-organizer DataClasys Inc.

Cooperation Majisemi Inc.

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Majisemi Inc.

3-12 Kioicho, Chiyoda-ku, Tokyo 102-0094 Inquiries: https://majisemi.com/service/contact/