4 Strategies to Address the Biggest Challenges in Data Security
The rapidly growing volume of data, structured and unstructured, stored in diverse places makes data security more challenging than ever. In this eBook, you'll get a quick but advanced view of the top challenges in data security today and advice for overcoming them. Download your complimentary copy of the eBook to dissect the how and why of understanding and protecting data and defending against identity-based threats.
How can organizations protect data amidst cultural shifts?
Organizations can implement holistic insider risk management to address data protection challenges arising from cultural shifts. This involves detecting and preventing misuse of authorized access, whether intentional or unintentional. Key steps include prioritizing employee-employer relationships, integrating privacy controls, and ensuring effective training and communication across the organization.
What strategies help organizations manage exponential data growth?
To manage exponential data growth, organizations should automate data discovery, classification, and protection. Utilizing artificial intelligence and machine learning can help classify sensitive data across various locations continuously. This automation creates a unified map of data, enhancing visibility and governance while ensuring compliance.
How can organizations defend against identity-based threats?
Organizations can adopt a Zero Trust framework to enhance security against identity-based threats. This approach emphasizes verifying identities explicitly, using least privileged access, and assuming a breach has occurred. By implementing unified, cloud-based identity services, organizations can better protect sensitive data and ensure compliance across their environments.
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