Protecting Your Data Lake from Internal and External Threats: Security Strategies
Blog post from Onehouse
Data lakes and lakehouses are pivotal in storing and analyzing extensive sets of structured and unstructured data, making them valuable assets for analytics and machine learning. However, their centralized nature also makes them attractive targets for cyber threats, both from within the organization, such as insiders with excessive access, and external attackers employing tactics like ransomware and data breaches. To mitigate these risks, organizations must adopt robust security strategies, including strong authentication and authorization protocols, comprehensive monitoring and observability measures, and effective data governance practices. Minimizing data duplication and ensuring interoperability through open table formats can streamline data management and enhance security. Encryption is crucial for protecting data both at rest and in transit, requiring secure key management practices. Tools like those from Onehouse can assist organizations in implementing secure data strategies, ensuring that data lakes remain a reliable foundation for business insights without becoming a point of vulnerability.
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