Common challenges in data leakage prevention (DLP) include:
Identifying Sensitive Data: Determining what constitutes sensitive data (e.g., personally identifiable information, financial records, intellectual property) across diverse systems is complex. For example, a healthcare provider must classify patient records, while a financial institution must secure transaction data.
Data Proliferation: Data spreads across endpoints, cloud storage, emails, and collaboration tools, making it difficult to monitor and control. For instance, employees might share files via personal cloud services, bypassing corporate security policies.
Insider Threats: Malicious or negligent employees can intentionally or accidentally leak data. An example is an employee emailing confidential documents to a personal account.
Encryption and Obfuscation: Encrypted or anonymized data can evade traditional DLP tools, requiring advanced detection methods. For example, attackers may use steganography to hide data within images.
Shadow IT: Unauthorized applications or services used by employees can create blind spots. A marketing team might use an unapproved file-sharing platform, increasing leakage risks.
Compliance Requirements: Meeting regulations like GDPR, HIPAA, or CCPA demands robust DLP measures. For example, a global company must ensure data transfers across regions comply with local laws.
Recommended Solution: Tencent Cloud offers Data Security Governance, including Data Loss Prevention (DLP) services to classify, monitor, and protect sensitive data across hybrid environments. Its Cloud Access Security Broker (CASB) helps secure cloud applications, while Key Management Service (KMS) ensures encryption key control.