Understanding Data Compliance Challenges
Businesses today encounter several key challenges in compliance and data security. The explosion of data generated and stored across various devices and locations complicates regulatory compliance. With an average of 257 daily regulatory updates across 190 countries in 2020, keeping up with these changes is daunting. Additionally, the shift to hybrid work models has increased insider risks, as employees access sensitive data from various environments. Organizations must also navigate the complexities of securing data in a borderless world and managing multiple security platforms, which can lead to inefficiencies.
To manage insider risks in hybrid work settings, organizations should implement effective insider risk programs that include robust policies and training. Utilizing software that leverages machine learning and AI can help detect unusual or risky behavior before a data breach occurs. It's essential to integrate data protection measures into daily workflows, enabling employees to work productively while ensuring compliance with security protocols. Regular updates to company policies are also crucial to adapt to changing regulations.
Implementing a Zero Trust Framework
A Zero Trust framework is an end-to-end security strategy that emphasizes verifying every user and device attempting to access resources, regardless of their location. It relies on three main principles: Verify Explicitly, Use Least Privileged Access, and Assume Breach. This approach is particularly relevant in hybrid work environments, where traditional perimeter-based security is insufficient. By adopting a Zero Trust model, organizations can better protect sensitive data and ensure compliance while effectively managing security risks across diverse IT resources.
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